UNIT –IV

MULTIMEDIA SYSTEM DESIGN & MULTIMEDIA FILE HANDLING

Multimedia basics − Multimedia applications − Multimedia system architecture – Evolving technologies for multimedia − Defining objects for multimedia systems − Multimedia data interface standards − Multimedia databases- Compression and decompression − Data and file format standards − Multimedia I/O technologies − Digital voice and audio − Video image and animation − Full motion video − Storage and retrieval technologies.

Multimedia Basics Multimedia is a combination of text, graphic art, and sound, animation and video elements. The IBM dictionary of computing describes multimedia as "comprehensive material, presented in a combination of text, graphics, video, animation and sound. Any system that is capable of presenting multimedia, is called a multimedia system". A multimedia application accepts input from the user by means of a keyboard, voice or pointing device. Multimedia applications involve using multimedia teclmology for business, education and entertainment. Multimedia is now available on standard computer platforms. It is the best way to gain attention of users and is widely used in many fields as follows: * Business - In any business enterprise, multimedia exists in the form of advertisements, presentations, video conferencing, voice mail, etc.

Schools - Multimedia tools for learning are widely used these days. People of all ages learn easily and quickly when they are presented information with the visual treat.

Home PCs equipped with CD-ROMs and game machines hooked up with TV screens have brought home entertainment to new levels. These multimedia titles viewed at home would probably be available on the multimedia highway soon.

Public places - Interactive maps at public places like libraries, museums, airports and the stand-alone terminal

Virtual Reality (VR) - This technology helps us feel a 'real life-like' experience. Games using virtual reality effect is very popular

Multimedia Elements

High-impact multimedia applications, such as presentations, training and messaging, require the use of moving images such as video and image animation, as well as sound (from the video images as well as overlaid sound by a narrator) intermixed with document images and graphical text displays. Multimedia applications require dynamic handling of data consisting of a mix of text, voice, audio components, video components, and image animation. Integrated multimedia applications allow the user to cut sections of all or any of these components and paste them in a new document or in another application such as an animated sequence of events, a. desktop publishing system, or a spreadsheet. The components that fall under our definition of multimedia are:

Data elements for Multimedia SystemsFacsimile

Facsimile transmissions were the first practical means of transmitting document images over telephone lines. The basic technology, now widely used, has evolved to allow higher scanning density for better-quality fax Document images

Document images are used for storing business documents that must be retained for long periods oftime or may need to be accessed by a large number of people. Providing multimedia access to such documents removes the need far making several copies ofthe original for storage or distribution

Photographic images Photographic images are used for a wide range of applications . such as employee records

for instant identification at a security desk, real estates systems with photographs of houses in the database containing the description of houses, medical case histories, and so on.

Geographic information systems map (GIS)Map created in a GIS system are being used wildly for natural resources and wild life

management as well as urban planning. These systems store the geographical information of the map along with a database containing information relating highlighted map elements with statistical or item information such as wild life statistics or details of the floors and rooms and workers in an office building Voice commands and voice synthesis

Voice commands and voice synthesis are used for hands-free operations of a computer program. Voice synthbsis is used for presenting the results of an action to the user in a synthesized voice. Applications such as a patient monitoring system in a surgical theatre will be prime beneficiaries of these capabilities. Voice commands allow the user to direct computer operation by spoken commands Audio message

Annotated voice mail already uses audio or voice message as attachments to memos and documents such as maintenance manuals. Video messages

Video messages are being used in a manner similar to annotated voice mail. Holographic images

All of the technologies so for essentially present a flat view of information. Holographic images extend the concept of virtual reality by allowing the user to get "inside" a part, such as, an engine and view its operation from the inside. Fractals

Fractals started as a technology in the early 1980s but have received serious attention only recently. This technology is based on synthesizing and storing algorithms that describes the information. MULTIMEDIA APPLICATIONS The first widely used application of multimedia is document image management. It is primarily intended for scanning documents and retaining their images.

Another application is image processing. It is also known as Image recognition. It is intended for recognizing objects by analyzing their raster images. Applications that present a view of generic multimedia applications are: 1. Document Imaging The fundamental concepts of storage, compression and decompression, and display technologies used for multimedia systems were developed for document image management. Organizations such as insurance agencies law offices,country and state governments, and the federal government manage large volumes of documents. Document image technology is adopted by Department of Defence for applications ranging from military personnel records to maintenance manuals and high-speed printing systems. Almost all document image system use workflows that are customized for the purpose for which they are being used. The workflow defines the sequence for scanning images, performing data entry based on the contents of the lmages, indexing them and storing them on optical media.

Document Image Hardware requirements: Realtime image decompression and display place an important role on image processing hardware. Image decompression and display hardware supports 4 to 8 planes. 4 planes provide 16 colors and 8 planes provide 256 colors. The image planes are also called bit planes, because, they are addressed by a bit in a bytes. Images must be processed at the rate of tens to hundreds of pixels per nano-second. For high-resolution images, processing of the order of 10 pixels/ ns is enough for monochrome still images. Gray scale images consist of pixels that have shades of gray ranging from 16 to 256. Color images feature color hues instead of shades of gray. Most high-resolution monitors support 16 to 256 colors display capability. The number of colors that can be depicted depends on the number of bits used to define the palette. Image processing and Image Recognition Image processing involves image recognition, Image enhancement,image synthesis, and image reconstruction. An image processing system may actually alter the contents of the image itself. Image processing systems employ the compression and decompression techniques, a wide range of algorithm for object recognition, comparing images of objects with pre-defined objects, extrapolating finer details to view edges more clearly, gray-scale balancing and gray-scale and color adjustments. Let us briefly review the various aspects of inlage processing and recognition. Image enhancement: Most image display systems feature some level of image adjustment. Increasing the sensitivity and contrast makes the picture darker by making bonderline pixels black or increasing the gray-scale level of pixels. Capabilities built in the compression boards might include the following * Image calibration: The overall image density is calibrated, and the image pixels are adjusted to a predefined level. * Real time alignment: The image is aligned in real-time for skewing caused by improper feeding of paper. * Gray-Scale normalization: The overall gray level of an image or picture is evaluated to determine if it is skewed in one direction and if it needs cOlTection. * RGB hue intensity adjustment: Too much color makes picture garish and fuzzy. Automatic hue intensity adjustment brings the hue intensity within pre-defined ranges. * Color Separation: A picture with very little color contrast can be dull and may not bring out the details. The hardware used can detect and adjust the range of color separation. * Frame

averaging: The intensity level of the frame is averaged to overcome the effects of very dark or very light areas by adjusting the middle tones. IMAGE ANIMATION Computers-created or scanned images can be displayed sequentially at controlled display speeds to provide image animation that simulates real processes. The basic concept of displaying successive images at short intervals to give the perception of motion is being used successfully in designing moving parts such as automobile engines. Image annotation Image annotation can be performed in one of two ways: as a text file stored along with the image or as a small image stored with the original image. The annotation is overlayed over the original image for display purposes. It requires tracking multiple image components associated with a single page, decompressing all of them, and ensuring correct spatial alignment they are overlayed.

Optical Character Recognition Data entry is the most expensive component of data processing, because it requires extensive clerical staff work to enter data. Automating data entry, both typed and handwritten, is a significant application that can provide high returns. Optical Character Recognition (OCR) technology is used for data entry by scanning typed or printed words in a form. Initially, people used dedicated OCR scanners. Now, OCR Technology is available in software. OCR technology, used as a means of data entry, may be used for capturing entire paragraphs of text. The capturing text is almost a\ways entered as a field in a database or in an editable document Handwriting recognition Research for Handwriting recognition was performed for CADI CAM systems for command recognition. Pen-based systems are designed to allow the user to write· commands on an electronic tablet. Handwriting recognition engines use complex algorithms designed to capture data in real time as it is being input or from an image displayed in a window, depending on the application. Two factors are important for handwriting recognition. They are the strokes or shapes being entered, and the velocity of input or the vectoring that is taking place. The strokes are parsed and processed by a shape recognizer that tries to determine the geometry and topology of the strokes. It attempts to compared it to existing shapes, such as predefined characters. The stroke is compare with the prototype character set until a match is found or all pre-defined prototypes have been checked without a match. Multimedia system will use handwriting recognition as another means of user input. Non-Textual Image Recognition Image recognition is a major technology component in designing, medical and manufacturing fields. Let us review the basic concepts of image recognition architecture. For example, a general Image recognition system,- the Image Understanding Architecture has the design which calls for three processing layers. (i) 512 x 512 array of custom pixel processors that extract basic features such as lines and object boundaries. (ii) The features of an object extracted by the first layer are tracked by the DSP array, and that information is fed into 5l2-M byte RAM. (iii) At the highest level, sophisticated AI algorithms perform the difficult task of object and scene recognition. .

Full motion Digital video Applications Full motion video has applications in the games industry and training, as well as the business world. Full motion video is the most complex and most demanding component of multimedia applications. For business applications, some core requirements are needed. (i) Full-motion video clips should be sharable but should have only one sharable copy. (ii) It should be possible to attach full-motion video clips to other documents such as memos, chapter text, presentation, and so on.

The following features should be available: (a) Features, of a VCR metaphor, such as, rewind, fast-forward, play, and search.(b) Ability to move and resize the window displaying the video clip. (c) Ability to view the same clip on a variety of display terminal types with varying resolution capabilities without the need for storing multiple copies in different form (d) Ability to adjust the contrast and brightness of the video clip. (e) Ability to adjust the volume of the associated sound. (f) It should enable the users to place their own indexing marks to locate segments in video clip.

A Universal Multimedia Application It is an application that works on universal data type. This means that the application manipulates datatypes that can be combined in a document, displayed 'on a screen, or printed, with no special manipulations that the user needs to perform. The application is truly distributed in nature. An important consideration for such a universal application is the methodology for dissemination of the information on a network.

In this screen, mix of windows for displaying still video and document images, a video conference window with a live session in progress, a remote live desk top, and a couple of other windows for applications such as electronic mail and desk top publishing. To maintain all of these windows requires a substantial amount of CPU power. Digital Signal Processing assistance is needed to manage the multiple simultaneous decompressions for JPEG, MPEG and windows applications. Full-Motion Video Messages In addition to textual messages, electronic mail capability allows embedding of voice messages and video messages. Video messages may consist of video snapshots or live video with full-motion picture and sound. Two technological concepts at play in the implementation of full motion video messages: (i) The storage and transmitted of a very large volume of data at a high rate, (ii) Decompression of that data to present a continuous play back Audio and Video Indexing. Indexing is an important and complex subject for multimedia design. Marking a position is called Indexing. Audio and video indexing are used in full-motion video in a manner similar to any video sequence, i.e.,. just as it would in a home movie, taped performance and so on. The needs of the application must be a strong consideration for the type of indexing provideq with the system. Key points for indexing of stored video clips: * Indexing is useful only if the video is stored, indexing information is lost.

* When sound and video are decompressed and managed separately, synchronization is very important. * Depending on the application, indexing information must be maintained separately for sound and video components of a video clip.

Multimedia Systems Architecture Multimedia encompasses a large variety of technologies and integration of multiple architectures interacting in real time. All of these multimedia capabilities must integrate with the standard user interfaces such as Microsoft Windows. The following figure describes the architecture of a multimedia workstation environment. In this diagram.

The right side shows the new architectural entities required for supporting multimedia applications. For each special devices such as scanners, video cameras, VCRs and sound equipment-, a software device driver is need to provide the interface from an application to the device. The GUI require control extensions to support applications such as full motion video High Resolution Graphics Display The various graphics standards such as MCA, GGA and XGA have demonstrated the increasing demands for higher resolutions for GUls. Combined graphics and imaging applications require functionality at three levels. They are provided by three classes of single-monitor architecture.

(i) VGA mixing: In VGA mixing, the image acquisition memory serves as the display source memory, thereby fixing its position and size on screen:

(ii) VGA mixing with scaling: Use of scalar ICs allows sizing and positioning of images in pre-defined windows. Resizing the window causes the things to be retrieved again.

(iii) Dual-buffered VGA/Mixing/Scaling: Double buffer schemes maintain the original images in a decompression buffer and the resized image in a display buffer.

The IMA Architectural Framework The Interactive Multimedia Association has a task group to define the architectural framework for multimedia to provide interoperability. The task group has C0ncentrated on the desktops and the servers. Desktop focus is to define the interchange formats. This format allows multimedia objects to be displayed on any work station.

The architectural approach taken by IMA is based on defining interfaces to a multimedia interface bus. This bus would be the interface between systems and multimedia sources. It provides streaming I/O service"s, including filters and translators Figure 3.4 describes the generalized architectural approach.

Network Architecture for Multimedia Systems: Multimedia systems need special networks. Because large volumes of images and video messages are being transmitted. Asynchronous Transfer Mode technology (A TM) simplifies transfers across LANs and W ANs. Task based Multi level networking Higher classes of service require more expensive components in the' workstations as well as in the servers supporting the workstation applications. Rather than impose this cost on all work stations, an alternate approach is to adjust the class of service to the specific requirement for the user. This approach is to adjust the class of services according to the type of data being handled at a time also. We call this approach task-based multilevel networking. High speed server to server Links Duplication: It is the process of duplicating an object that the user can manipulate. There is no requirement for the duplicated object to remain synchronized with the source (or master) object. Replication: Replication is defined as the process of maintaining two or more copies of the same object in a network that periodically re-synchronize to provide the user faster and more reliable access to the data Replication is a complex process. Networking Standards: The two well-known networking standards are Ethernet and token ring. ATM and FDDI are the two technologies which we are going to discuss in detail. ATM: ATM is a acronym for Asynchronous Transfer Mode. It's topology was originally designed for broadband applications in public networks. ATM is a method of multiplexing and relaying (cell-switching) 53 byte cells. (48 bytes of user information and 5 bits of header information). Cell Switching: It is a form of fast packet switching based on the use of cells. Cells: Short, fixed length packets are called cells. ATM provides high capacity, low-latency switching fabric for data. It is independent of protocol and distances. ATM effectively manage a mix of data types, including text data, voice, images and full motion video. ATM was proposed as a means of transmitting multimedia applications over asynchronous networks.

FDDI: FDDI is an acronym of Fiber Distributed Data Interface. This FDDI network is an excellent candidate to act as the hub in a network configuration, or as a backbone that interconnects different types of LANs. FDDI presents a potential for standardization for high speed networks. The ANSI standard for FDDI allows large-distance networking. It can be used as high-performance backbone networks to complement and extend current LANs.

EVOLVING TECHNOLOGIES FOR MULTIMEDIA SYSTEMS Multimedia applications use a number of technologies generated for both commercial business application as well as the video game industry. Let us review some of these technologies in this section. Hypermedia documents Hypermedia documents are documents which have text, embedded or linked multimedia objects such as image, audio, hologram, or full-motion video.

Hypertext Hypertext systems allow authors to link information together, create information paths through a large volume of related text in documents. It also allows to annotate existing text, and append notes. It allows fast and easy searching and reading of selected excerpts. HYPERMEDIA It is an extension of hypertext. In that, we can include texts, any kind of information that can be stored in electronic storage, such as audio, animated video, graphics or full-motion video. Hypermedia documents used for electronic mail and work flow applications provide a rich functionality for exchanging a variety of information types. The hypermedia document is a definition of a document and a set of pointers to help locate the various elements of the document on the network. HYPER SPEECH Multimedia stimulated the development of general-purpose speech interfaces. Speech synthesis and speech recognition are fundamental requirement for hyperspeech systems. Speech recognition is nothing but converting the analog speech into a computer action and into ASCII text. Speech-recognition systems cannot segment a stream of sounds without breaks into meaningful units. The user must speak in a stilted fashion. He should make sure to interpose silence between each word. HDTV AND UDTV HDTV is an acronym of High-Definition Television. The broadcasting standards such as NTSC, PAL, SECAM, NHK have an idea of bringing the world together on a single high-definition Television broadcasting standard. The japanese broadcasting services developed a 1125-line, along MUSE system. A competing standard in the U.S. changed direction from analog to digital technology:A 1125-line digital HDTV has been developed and is being commercialized. NHK of Japan is trying to leapfrog the digital technology to develop ultra definition television (digital UDTV) featuring approximately 3000 lines

3D TECHNOLOGIES AND HOLOGRAPHY Three-dimensional technologies are concerned with two areas: pointing devices and displays. 3-D pointing devices are essential to manipulate object in a 3-D display system. 3-D displays are achieved using holography techniques. The techniques developed for holography have been adapted for direct computer use.

Fuzzy Logic Fuzzy logic is logic which is used for low-level process controllers. Use of fuzzy logic in multimedia chips is the key to the emerging graphical interfaces of the future. It is expected to become an integral part of multimedia hardware. Fuzzy logic has mathematical principles. Hence, the application of multimedia can benefit those principles. Digital Signal Processing Digital Signal Processing are used in applications such as digital servos in hard disk drives, and fax/modems. DSP technology is used in Digital wireless communications, such as personal communication networks (pens), wireless local area networks and digital cordless phones. DSP Architectures and Applications A typical DSP operating system architecture would contain the following subsystems: Memory Management: DSP architectures provide dynamic allocation of arrays from multiple segments, including RAM, SRAM and DRAM. Hardware-Interrupt handling: A DSP operating system must be designed to minimize hardware-interrupt latency to ensure fast response to real time events for applications, such as servo systems. Multitasking: DSPs need real-time kernels that provide pre-emptive multitasking and user-defined and dynamic task prioritization INTERTASK SYNCHRONIZATION AND COMMUNICATION Mechanisms for intertask communication include message queues, semaphores, shared memory, and quick response event flags. Multiple timer services: The ability for the developer to set

system clock interrupt managed timers to control and synchronize tasks is needed for most real-time applications. Device-Independent I/O: DSP operating system should supports (i) Asynchronous data stream (ii) Synchronous message passing. Use of DSP' s has evolved from traditional general purpose digital signal processors to application-specific and customizable DSPs. DSPs were conceived as math engines with a system architecture that was like that of a mini-computer with an array processor. DEFINING OBJECTS FOR MULTIMEDIA SYSTEMS The basic data types of object using in multimedia include text, image, audio, holograms and full-motion video. TEXT

It is the simplest of data types and requires the least amount of storage. Text is the base element of a relational database.

It is also the basic building of a document. The major attributes of text include paragraph styling, character styling, font families and

sizes, and relative location in a document

HYPERTEXT It is an application of indexing text to provide a rapid search of specific text strings in one

or more documents. It is an integral component of hypermedia documents. A hypermedia document is the basic complex object of which text is a sub object.

Sub-objects include images, sound and full motion video. A hypermedia document always has text and has one or more other types of sub-objects

IMAGES Image object is an object that is represented in graphics or encoded form. Image object is

a subobject of the hypermedia document object. In this object, there is no direct relationship between successive representations in time. The image object includes all data types that are not coded text. It do not have a temporal

property associated with them. The data types such as document images, facsimile systems, fractals, bitmaps, meta files,

and still pictures or still video frames are grouped together.

Figure 3.6 describes a hierarchy of the object classes

Non-Visible: This type of images are not stored as images. But they are displayed as images. Example: Pressure gauges, and temperature gauges. Abstract: Abstract images are computer-generated images based on some arithmetic calculations. They are really not images that ever existed as real-world objects. Example of these images is fractals.

AUDIO AND VOICE Stored-Audio and Video objects contain compressed audio information. This can consist

of music, speech, telephone conversation and voice commands. An Audio object needs to store information about the sound clip.

Information here means length of the sound clip, its compression algorithm, playback characteristics, and any annotations associated with the original clip.

FULL MOTION AND LIVE VIDEO Full motion video refers to pre-stored video clips. Live video refers to live and it must be processed while it is being captured by the camera. . From a storage perspective, we should have the information about the coding algorithm used for compression. It needs decoding also. From a processing perspective, video should be presented to user with smooth and there should not be any unexpected breaks. Hence, video object and its associated audio object must be transferred over the network to the decompression unit. It should be then played at the fixed rate specified for it. For successful playback of compressed video, there are number of technologies. They are database storage, network media and protocols, decompression engines and display engines.

MULTIMEDIA DATA INTERFACE STANDARDSFile Formats for Multimedia Systems:

(i) Device-independent Bitrnap (DIB): This file format contains bit map, color, and color palette information.

(ii) RIFF device Independent Bitrnap (RDIB):

Resource Interchange File Frmat (RIFF) is the standard file format defined for Microsoft Windows and OS/2. It allows a more complex set of bit maps than can be handled by DIB.

(iii) Musical Instrument Digital interface (MIDI): This is the interface standard for file transfer between a computer and a musical instrument such as a digital piano. It is also, used for full-motion video and voice-mail messaging systems. It has the advantage of ready availability of MIDI device controller boards for personal computers.

RIFF Musical Instrument Digital Interface A MIDI format within a RIFF envelope provides a more complex interface. Palette File Format (PAL)An interface that allows defining a palette of 1 to 256 colours in a representation as RGB values.Rich Text Format (RTF) This file format allows embedding graphics and other file formats within a document. This format is used by products such as Lotus Notus. This format is also the basis for the use of OLE. Waveform Audio File Format (WAVE) A digital file representation of digital audio. Windows Metafile Format (WMF) This is a vector graphic format used by Microsoft Windows as an interchange format. Multimedia Movie Format (MMM) This is a format used for digital video animation. Apple's Movie Format This format was defined as the standard for file exchange by Quick Time enabled systems. Digital Video Command Set (DVCS) This is the set of digital video commands simulating VCR controls. Digital Video Media Control Interface Microsoft's high level control interface for VCR controls, including play, rewind, record and so on. Vendor - Independent Messaging (VIM) Developed by a consortium of Vendors providing a standardized format for cross-product messages. Apple's Audio Interchange File Format Apple's standard file format for compressed audio and voice data. SDTS GIS Standard The Spatial Data Transfer Standard (SDTS) is designed to provide a common storage format for geographic and cartographic data. VIDEO PROCESSING STANDARDS INTELS DVI DVI is an achronym of Digital Video Interface. DVI standard is to provide a processor independent specification for a video interface. That video interface should accomodate most compression algorithms for fast multimedia displays. An example of custom-designed chip which supports DVI is Intel's i750 B. This chip is designed for enhancing low-end, software based PC video. Advantages of the DVI Chip (i) It can operate software video processing real time. (ii) It can share the processing with the host CPU. (iii) It can handle additional vector-quantization-type algorithms in conjunction with host processing. DVI silicon chip relies on a programmable video processor. It gives potential to DVI chips to run a range of compression algorithms. APPLE QUICK TIME Quick Time standard is developed by Apple Computer. It is designed to Support multimedia applications. It is integrated with the operating system. Quick time refers to both the extensions

to the Mac Operating system and to the compression/decompression functionality Of the environment. Quick Time is designed to be the graphics standard for timebased graphic data types. Quick Time's definition has been extended to include (i) System Software, (ii) File Formats, (Hi) Compression! decompression algorithms, (iv) Human Interface Standards. Figure Shows the components in the Quick Time Architecture.

Quick Time adjust automatically to the hardware being used by the user. MPEG is another competing standard which is comparitively higher-end, hardware-assisted standard. It can produce better resolutions at faster rates. MICROSOFT AVI A VI is an achronym for Audio Video Interleave Standard. It is similar to Apple's Quick Time. It offers low-cost, low-resolution video processing for the average desktop user. It is a layered product. A VI is scalable. It allows users to set parameter such as window size, frame rate, quality and compression algorithm through a number of dialog boxes. AVI-compatible hardware allows enhancing performance through hardware-accelerated compression algorithms such as DVI and MPEG. A VI supports several compression algorithms

MULTIMEDIA DATABASES

Images, sounds and movies can be stored, retrieved and played by many databases. In future, multimedia databases will bcome a main source of interaction between users and multimedia elements. Multimedia storage and retrieval Multimedia storage is characterized by a number of considerations. They are: (i) massive storage volumes (ii) large object sizes (iii) multiple related objects (iv) temporal requirements for retrieval Massive Data Volumes A single multimedia document may be a combination of different media Hence indexing of documents, fi lms and tapes is more complex. Locating massive data volumes requires searching

through massive storage files. Locating and indexing systems can be understood only by a few key staff personnel. Hence it requires a major organizational eff0l1 to ensure that they are returned in proper sequence to their original storage location. storage technologies There are two major mass storage technologies used currently for storage of multimedia documents. (i) Optical disk storage systems. (ii) High-speed magnetic storage. Advantages of Optical disk storage systems: (i) Managing a few optical disk platters in a juke box is much simpler than man;lging a large magnetic disk farm. (ii) Optical disk storage is excellent storage system for off line archival of old and infrequently referenced documents for significant periods of time Multimedia object storage Multimedia object storage in an optical medium serves its original purpose, only if it can be located fast and automatically. A key issue here is random keyed Access t6 various components of hypermedia database record. Optical media providcs very dense storage. Speed of retrieval is another consideration. Retrieval speed is a direct result of the storage latency, size of the data relative to display resolution, transmission media and speed, and decompression efficiency. Indexing is important for fast retrieval of information. Indexing can be at multiple levels. Multimedia document retrieval The simplest form of identifying a multimedia document is by storage platter identification and its relative position on the platter (file number). These objects can then be grouped using a database in folders (replicating the concept of paper storage in file folders) or within complex objects representing hypermedia documents. The capability to access objects using identifiers stored in a database requires capability in the database to perform the required multimedia object directory functions. Another important application for sound and full motion video is the ability to clip parts of it and combine them with another set. Indexing of sound and full-motion video is the subject of intense debate and a number of approaches have been used. Database Management Systems for Multimedia Systems Since most multimedia applications are based primarily on communications technologies, such as electronic mail, the database system must be fully distributed. A number of database storge choices are available. The choices available are: * Extending the existing relational database management systems, (RDBMSs) to support the various objects for multimedia as binary objects. * Extending RDBMSs beyond basis binary objects to the concepts of inheritance and classes. RDBMSs supporting these . features provide extensions for object-programming front ends and/or C++ support. * Converting to a full fledged object oriented database that supports the standard SQL language. * Converting the database and the application to an objectoriented database and using an object-oriented language, or an object-enabled SQL for development.

Multimedia applications combine numerical and textual data, graphics from GUI front-ends, CAD/CAM systems and GIS applications, still video, audio and full-motion video with recorded audio and annotated voice components. Relational databases, the dominent database paradigm, have lacked the ability to support multimedia databases. Key limitations of relational database systems for implementing multimedia applications stem from two areas: the relational data model and the relatIonal computational model. RDBMSs have been designed to manage only tabular alphanumeric forms of data (along with some additional data types stored in binary form such as dates). RDBMS EXTENSIONS FOR MULTIMEDIA Binary Large Object (BLOB) is a data type which has been adapted by most of the leading relational databases. BLOBs are used for objects such as images or other binary data types. The relational database is extended to access these BLOBs to present the user 'with a complete' data set. Extended relational databases provide a gradual migration path to a more object-oriented environment. Relational database tables include location information for the BLOBs which may be stored outside the database on separate image or video servers. Relational databases have the strength of rigorous set management for maintaining the integrity of the database Object-Oriented Databases for Multimedia .In object databases, data remains in RMS or flat files. Object databases can provide the fastest route to multimedia support. Object programming embodies the principles of reusable code and modularity. This will ease future maintenance of these databases. Object database capabilities such as message passing, extensibility, and the support of hierarchical structures, are important for multimedia systems. We can develop the application fastest class definitions. ODBMSs are extensible. They allow incremental changes to the database applications. Extensibility: Extensibility .means that the set of operations, structures and constraints that are available to operations are not fixed, and developers can define new operations, which can then be added as needed to their application. Object-oriented software technology has three important concepts. They are: Encapsulation: It is the ability to deal with software entities as units that interact in pre-defined and controllable manner, and where the control routines are integral with entity. Association: It is the ability to define a software entity in terms of its di fferences from another entity. Classification: It is the ability to represent with a single software entity a number of data items that all have the same behavior and the same state attributes. Object orientation helps to organize the software in a more, modular and re-usable manner. Encapsulation allows for the development of open systems where one part of the application does not need to know the functioning of other part. It also provides autonomy; Autonomy means we can interface to a variety of external programs can be built in one class of objects and the storage of the data in another class of objects. Database Organization for Multimedia Applications Data organization for multimedia systems has some key issues. They are: (l) Data independence (2) Common distributed database architecture (3) Distributed database servers· (4) Multimedia object management. Data Independence

Flexible access by a number of databases requires that the data be independent from the application so that future applications can access the data without constraints related to a previous application. Key features of data independent designs are: 1.Storage design in independent of specific applications. 2.Explicit data definitions are independent of application program. 3.Users need not know data formats or physical storage structures. 4.Integrity assurance in independent of application programs. 5.Recovery in independent of application programs.

Distributed Data servers

Distributed database servers are a dedicated resource on a network accessible to a number of applications. The database server is built for growth and enhancement, and the network provides the opportunity for the growth of applications and distributed access to the data. Multimedia Object Management The object management system must be capable of indexing, grouping and storing multimedia objects in distributed hierarchical optional storage systems, and accessing these objects on or keyed basis. The design of the object management system should be capable indexing objects in such a manner that there is no need to maintain multiple storage copies. Multimedia transactions are very complex transactions. We define a multimedia transaction as the sequence of events that starts when a user makes a request to display, edit, or print a hyper media document. The transaction is complete when the user releases the hypermedia document and stores back the edited versions or discards the copy in memory (including virtual memory) or local storage ..

4.1 COMPRESSION AND DECOMPRESSION Compression is the way of making files to take up less space. In multimedia systems, in order to manage large multimedia data objects efficiently, these data objects need to be compressed to reduce the file size for storage of these objects. Compression tries to eliminate redundancies in the pattern of data. For example, if a black pixel is followed by 20 white pixels, there is no need to store all 20 white pixels. A coding mechanism can be used so that only the count of the white pixels is stored. Once such redundancies are removed, the data object requires less time for transmission over a network. This in turn significantly reduces storage and transmission costs. TYPES OF COMPRESSION Compression and decompression techniques are utilized for a number of applications, such as facsimile system, printer systems, document storage and retrieval systems, video teleconferencing systems, and electronic multimedia messaging systems. An important standardization of compression algorithm was achieved by the CCITT when it specified Group 2 compression for facsimile system. .

When information is compressed, the redundancies are removed. Sometimes removing redundancies is not sufficient to reduce the size of the data object to manageable levels. In such cases, some real information is also removed. The primary criterion is that removal of the real information should not perceptly affect the quality of the result. In the case of video, compression causes some information to be lost; some information at a delete level is considered not essential for a reasonable reproduction of the scene. This type of compression is called lossy compression. Audio compression, on the other hand, is not lossy. It is called lossless compression. Lossless Compression. In lossless compression, data is not altered or lost in the process of compression or decompression. Decompression generates an exact replica ofthe original object. Text compression is a good example of lossless compression. The repetitive nature of text, sound and graphic images allows replacement of repeated strings of characters or bits by codes. Lossless compression techniques are good for text data and for repetitive data in images all like binary images and gray-scale images. Some of the commonly accepted lossless standards are given below: Packpits encoding (Run-length encoding) CCITT Group 3 I D CCITT Group 3 2D CCITT Group 4 Lempe l-Ziv and Welch algorithm LZW.

Lossy compression is that some loss would occur while compressing information objects. Lossy compression is used for compressing audio, gray-scale or color images, and video objects in which absolute data accuracy is not necessary. The idea behind the lossy compression is that, the human eye fills in the missing information in the case of video. But, an important consideration is how much information can be lost so that the result should not affect. For example, in a grayscale image, if several bits are missing, the information is still perceived in an acceptable manner as the eye fills in the gaps in the shading gradient.

Lossy compression is applicable in medical screening systems, video tele-conferencing, and multimedia electronic messaging systems. Lossy compressions techniques can be used alone o~' in combination with other compression methods in a multimedia object consisting of audio, color images, and video as well as other specialized data types. The following lists some of the lossy compression mechanisms: Joint Photographic Experts Group (JPEG) Moving Picture Experts Group (MPEG) Intel DVI

CCITT H.261 (P * 24) Video Coding Algorithm Fractals.

Compression schemes are Binary Image compression schemes Binary Image Compression Scheme is a scheme by which a binary image containing black and white pixel is generated when a document is scanned in a binary mode. The schemes are used primarily for documents that do not contain any continuous-tone information or where the continuous-tone information can be captured in a black and white mode to serve the desired purpose. The schemes are applicable in office/business documents, handwritten text, line graphics, engineering drawings, and so on. Let us view the scanning process.A scanner scans a document as sequential scan lines, starting from the top of the page. A scan line is complete line of pixels, of height equal to one pixel, running across the page. It scans the first line of pixels (Scan Line), then scans second "line, and works its way up to the last scan line of the page. Each scan line is scanned from left to right of the page generating black and white pixels for that scan line. This uncompressed image consists of a single bit per pixel containing black and white pixels. Binary 1 represents a black pixel, binary 0 a white pixel. Several schemes have been standardized and used to achieve various levels of compressions. Let us review the more commonly used schemes. 1 .Packpits Encoding( Run-Length Encoding) It is a scheme in which a consecutive repeated string of characters is replaced by two bytes. It is the simple, earliest of the data compression scheme developed. It need not to have a standard. It is used to compress black and white (binary) images. Among two bytes which are being replaced, the first byte contains a number representing the number of times the character is repeated, and the second byte contains the character itself. In some cases, one byte is used to represent the pixel value, and the other seven bits to represents the run length. 2. CCITT Group 3 1-D Compression This scheme is based on run-length encoding and assumes that a typical scanline has long runs of the same color. This scheme was designed for black and white images only, not for gray scale or color images. The primary application of this scheme is in facsimile and early document imaging system. Huffman Encoding A modified version of run-length encoding is Huffman encoding. It is used for many software based document imaging systems. It is used for encoding the pixel run length in CCITT Group 3 1-dGroup 4. It is variable-length encoding. It generates the shortest code for frequently occurring run lengths and longer code for less frequently occurring run lengths. Mathematical Algorithm for huffman encoding:

Huffman encoding scheme is based on a coding tree. It is constructed based on the probability of occurrence of white pixels or black pixels in the run length or bit stream. Table below shows the CCITT Group 3 tables showing codes or white run lengths and black run lengths. White Black Run Code Run Code

Length Word Length Word 0 00110101 0 0000110111 1 000111 1 010 2 0111 2 11 3 1000 3 10 4 1011 4 011 5 1100 5 0011 6 1110 6 0010 7 1111 7 00011 8 10011 8 000101 9 10100 \ 9 000100

10 00111 10 0000100 1 11 01000 10 0000100 11 01000 11 0000101 12 001000 12 0000111 13 000011 13 00000100 14 110100 14 00000111 15 110101 15 000011000 16 101010 16 0000010111 17 101011 17 0000011000 18 0100111 18 0000001000 19 0001100 19 0000 11 00 III 20 0001000 20 00001101000 21 0010111 21 00001101100 22 0000011 22 00000110111 23 0000100 23 00000101000 24 0101000 24 00000010111 25 0101011 25 00000011000 26 0010011 26 000011001010 27 0100100 27 000011001011 28 0011000 28 000011 00 11 00 29 00000010 29 000011001101

30 00000011 30 000001101000 31 00011010 31 000001101001 32 00011011 32 000001101010 33 00010010 33 000001101011 34 00010011 34 000011010010 35 00010100 35 000011 0 10011

For example, from Table 2, the run-length code of 16 white pixels is 101010, and of 16 black pixels 0000010111. Statistically, the occurrence of 16 white pixels is more frequent than the occurrence of 16 black pixels. Hence, the code generated for 16 white pixels is much shorter. This allows for quicker decoding. For this example, the tree structure could be constructed. 36 00010101 36 000011010100 37 00010110 37 000011010101 38 000101 II 38 000011010110

39 00101000 39 000011 0 1 0 1 1 1 40 00101001 40 000001I01100 41 00101010 41 000001101101 42 00101011 42 000011011010 43 00101100· 43 0000 11 0 1 1011 44 00101101 44 000001010100 45 00000100 45 000001010101 46 00000101 46 000001010110 47 00001010 47 000001010111 48 00001011 48 000001100100 49 01010010 49 000001100101 50 010100II 50 000001010010 51 01010100 51 000001010011 52 01010101 52 000000100100 53 00100100 53 000000110111

The codes greater than a string of 1792 pixels are identical for black and white pixels. A new code indicates reversal of color, that is, the pixel Color code is relative to the color of the previous pixel sequence. Table 3 shows the codes for pixel sequences larger than 1792 pixels. Run Length Make-up Code (Black and White) 1792 00000001000 1856 00000001100 1920 00000001101 1984 000000010010

2048 000000010011 2112 000000010100 2176 000000010101 2240 000000010110 2304 000000010111 2368 000000011100 2432 000000011101 2496 000000011110 2560 000000011111

CCITT Group 3 compression utilizes Huffman coding to generate a set of make-up codes and a set of terminating codes for a given bit stream. Make-up codes are used to represent run length in multiples of 64 pixels. Terminating codes are used to represent run lengths of less than 64 pixels. As shown in Table 2; run-length codes for black pixels are different from the run-length codes for white pixels. For example, the run-length code for 64 white pixels is 11011. The run length code for 64 black pixels is 0000001111. Consequently, the run length of 132 white pixels is encoded by the following two codes: Makeup code for 128 white pixels - 10010 Terminating code for 4 white pixels - 1011 The compressed bit stream for 132 white pixels is 100101011, a total of nine bits. Therefore the compression ratio is 14, the ratio between the total number of bits (132) divided by the number of bits used to code them (9).

CCITT Group 3 uses a very simple data format. This consists of sequential blocks of data for each scanline, as shown in Table 4.

Note that the file is terminated by a number of EOLs (End of. Line) if there is no change in the line [rom the previous line (for example, white space). TABLE 4: CCITT Group 3 1D File Format EOL DATA

LINE 1

FILL EOL DATA LINE 2

FILL EOL… DATA LINE n

FILL EOL EOL EOL

Advantages of CCITT Group 3 ID CCITT Group 3 compression has been used extensively due to the following two advantages: It is simple to implement in both hardware and software . It is a worldwide standard for facsimile which is accepted for document imaging application. This allows document imaging applications to incorporate fax documents easily. CCITT group 3 compressions utilizes Huffman coding to generate a set of make-up codes and a set of terminating codes for a give bit stream. CCITT Group 3 uses a very simply data format. This consists of sequential blocks of data for each scanline.

CCITT Group 3 2D Compression It is also known as modified run length encoding. It is used for software based imaging system and facsimile. It is easier to decompress in software than CCITT Group 4. The CCITT Group 3 2D scheme uses a "k" factor where the

image is divided into several group of k lines. This scheme is based on the statistical nature of images; the image data across the adjacent scanline is redundant. If black and white transition occurs on a given scanline, chances are the same transition will occur within + or - 3 pixels in the next scanline. Necessity of k factor· When CCITT Group 3 2D compression is used, the algorithm embeds Group 3 1 D coding between every k groups of Group 3 2D coding, allowing the Group 3 1 D coding to be the synchronizing line in the event of a transmission error. Therefore when a transmission error occurs due to a bad communication link, the group 3 I D can be used to synchronize and correct the error. Data formatting for CClIT Group 3 2D The 2D scheme uses a combination of additional codes called vertical code, pass code, and horizontal code to encode every line in the group of k lines. The steps for pseudocode to code the code line are: (i) Parse the coding line and look for the change in the pixel value. (Change is found at al location). (ii) Parse the reference line and look for the change in the pixel value. (Change is found at bl location). (iii) . Find the difference in location between bland a 1: delta = b1- al Advantage of CClIT Group 3 2D The implementation of the k factor allows error-free transmission . Compression ratio achieved is better than CClTT Group 3 1 D . It is accepted for document imaging applications.

DisadvantageIt doesn’t provide dense compression CCITT Group 4 2D compression CClTT Group 4 compression is the two dimensional coding scheme without the k-factor. In this method, the first reference line is an imaginary all-white line above the top of the image.The first group of pixels (scanline) is encoded utilizing the imaginary white line as the reference line. The new coded line becomes the references line for the next scan line. The k-factor in this case is the entire page of line. In this method, there are no end-of-line (EOL) markers before the start of the compressed data COLOR, GRAY SCALE AND STILL-VIDEO IMAGE COMPRESSION Color: Color is a part of life we take for granted. Color adds another dimension to objects. It helps in making things standout. Color adds depth to images, enhance images, and helps set objects apart from -background. Let us review the physics of color. Visible light is a form of electromagnetic radiation or radiant energy, as are radio frequencies or x-rays. The radiant energy spectrum contains audio frequencies, radio frequencies, infrared, visible light, ultraviolet rays, x-rays and gamma rays. Radian energy is measured in terms of frequency or wavelength. The relationship between the two is

where - is the wavelength in meters c is the velocity of light in meters per second. f is frequency of the radiation in hertz. Since all electromagnetic waves travel through space at the velocity of light i.e., 3 x 108 meters/second - the wavelength is calculated by meters 1038f Color Characteristics We typically define color by its brightness, the hue and depth of color. Luminance or Brightness This is the measure of the brightness of the light emitted or reflected by an object; it depends on the radiant, energy of the color band. Hue This is the color sensation produced in an observer due to the presence of certain wavelengths of color. Each wavelength represents a different hue. Saturation This is a measure of color intensity, for example, the difference between red and pink. Color Models Several calm' models have been developed to represent color mathematically. Chromacity Model It is a three-dimensional model with two dimensions, x and y, defining the color, and the third dimension defining the luminance. It is an additive model since x and yare added to generate different colors. RGBModel RGB means Red Green Blue. This model implements additive theory in that different intensities of red, green and blue are added to generate various colors. HSI Model The Hue Saturation and Intensity (HSI) model represents an artist's impression of tint, shade and tone. This model has proved suitable for image processing for filtering and smoothing images. CMYK Model The Cyan, Magenta, Yellow and Black color model is used in desktop publishing printing devices. It is a color-subtractive model and is best used in color printing devices only. YUV Representation The NTSC developed the YUV three-dimensional color model. y-Luminance Component

UV -Chrominance Components. Luminance component contains the black and white or grayscale information. The chrominance component contains color information where U is red minus cyan and V is megenta minus green. YUV Model for JPEG The JPEG compression scheme uses several stages.

The first stage converts the signal from the spatial RGB domain to the YUV frequency domain by performing discrete cosine transform. This process allows separating luminance or gray-scale components from the chrominance components of the image. JOINT PHOTOGRAPHIC EXPERTS GROUP COMPRES5ION (JPEG) ISO and CCITT working committee joint together and formed Joint Photographic Experts Group. It is focused exclusively on still image compression. Another joint committee, known as the Motion Picture Experts Group (MPEG), is concerned with full motion video standards. JPEG is a compression standard for still color images and grayscale images, otherwise known as continuous tone images. JPEG has been released as an ISO standard in two parts Part I specifies the modes of operation, the interchange formats, and the encoder/decoder specifies for these modes along with substantial implementation guide lines . Part 2 describes compliance tests which determine whether the implementation of an encoder or decoder conforms to the standard specification of part I to ensure interoperability of systems compliant with JPEG standards

Requirements addressed by JPEG The design should address image quality . The compression standard should be applicable to practically any kind of continuous-tone digital source image . It should be scalable from completefy lossless to lossy ranges to adapt it. It should provide sequential encoding . It should provide for progressive encoding . It should also provide for hierarchical encoding . The compression standard should provide the option of lossless encoding so that images can be guaranteed to provide full detail at the selected resolution when decompressed.

Definitions in the JPEG Standard The JPEG Standards have three levels of definition as follows: * Base line system * Extended system * Special lossless function. The base line system must reasonably decompress color images, maintain a high compression ratio, and handle from 4 bits/pixel to 16 bits/pixel. The extended system covers the various encoding aspects such as variable-length encoding, progressive encoding, and the hierarchical mode of encoding. The special lossless function is also known as predictive lossless coding. It ensures that at the resolution at which the image is no loss of any detail that was there in the original source image. Overview of JPEG Components JPEG Standard components are:

(i) Baseline Sequential Codec (ii) OCT Progressive Mode (Hi) Predictive Lossless Encoding (iv) Hierarchical Mode. These four components describe four four different levels of jPEG compression. The baseline sequential code defines a rich compression scheme the other three modes describe enhancements to this baseline scheme for achieving different results. Some of the terms used in JPEG methodologies are: Discrete Cosine Transform (OCT) OCT is closely related to Fourier transforms. Fourier transforms are used to represent a two dimensional sound signal.

DCT uses a similar concept to reduce the gray-scale level or color signal amplitudes to equations that require very few points to locate the amplitude in Y-axis X-axis is for locating frequency. DCT Coefficients The output amplitudes of the set of 64 orthogonal basis signals are called OCT Co-efficients. Quantization This is a process that attempts to determine what information can be safely discarded without a significant loss in visual fidelity. It uses OCT co-efficient and provides many-to-one mapping. The quantization process is fundamentally lossy due to its many-to-one mapping. De Quantization This process is the reverse of quantization. Note that since quantization used a many-to-one mapping, the information lost in that mapping cannot be fully recovered Entropy Encoder / Decoder Entropy is defined as a measure of randomness, disorder, or chaos, as well as a measure of a system's ability to undergo spontaneous change. The entropy encoder compresses quantized DCT co-efficients more compactly based on their spatial characteristics. The baseline sequential. codec uses Huffman coding. Arithmetic coding is another type of entropy encoding Huffman Coding Huffman coding requires that one or more sets of huff man code tables be specified by the application for encoding as well as decoding. The Huffman tables may be pre-defined and used within an application as defaults, or computed specifically for a given image. Baseline Sequential codec It consists of three steps: Formation of DCT co-efficients quantization, and entropy encoding. It is a rich compression scheme.

DCT Progressive Mode The key steps of formation of DCT co-efficients and quantization are the same as for the baseline sequential codec. The key difference is that each image component is coded in multiple scans instead ofa single scan. Predictive Lossless Encoding

It is to define a means of approaching lossless continuous-tone compression. A predictor combines sample areas and predicts neighboring areas on the basis of the sample areas. The predicted areas are checked against the fully loss less sample for each area. The difference is encoded losslessly using huffman on arithmetic entropy encoding . Hierarchical Mode The hierarchical mode provides a means of carrying multiple resolutions. Each successive encoding of the image is reduced by a factor of two, in either the horizontal or vertical dimension. JPEG Methodology The JPEG compression scheme is lossy, and utilizes forward discrete cosine transform (or forward DCT mathematical function), a uniform quantizer, and entropy encoding. The DCT function removes data redundancy by transforming data from a spatial domain to a frequency domain; the quantizer quantizes DCT co-efficients with weighting functions to generate quantized DCT co-efficients optimized for the human eye; and the entropy encoder minimizes the entropy of quantized DCT co-efficients. The JPEG method is a symmetric algorithm. Here, decompression is the exact reverse process of compression. Figure below describes a typical DCT based encoder and decoder. Symmetric Operation of DCT based Codec

Figure below shows the components and sequence of quantization 5 * 8 Image blocks

Quantization Quantization is a process of reducing the precision of an integer, thereby reducing the number of bits required to store the integer, thereby reducing the number of bits required to store the integer.

The baseline JPEG algorithm supports four color quantization tables and two huffman tables for both DC and AC DCT co-efficients. The quantized co-efficient is described by the following

equation: ZigZag Sequence Run-length encoding generates a code to represent the C0unt of zero-value OCT co-efficients. This process of run-length encoding gives an excellent compression of the block consisting mostly of zero values. Further empirical work proved that the length of zero values in a run can be increased to give a further increase in compression by reordering the runs. JPEG came up with ordering the quantized OCT co-efficients in a ZigZag sequence Entropy Encoding Entropy is a term used in thermodynamics for the study of heat and work. Entropy, as used in data compression, is the measure of the information content of a message in number of bits. It is represented as Entropy in number of bits = log2 (probability of Object) VIDEO IMAGE COMPRESSION The development of digital video technology has made it possible to use digital video compression for a variety of telecommunications applications. Standardization of compression algorithms for video was first initiated by CCITT for teleconferencing and video telephony Multimedia standards for Video:

Requirements for full-motion Video Compression Applications using MPEG standards can be symmetric or asymmetric. Symmetric applications are applications that require essentially equal use of compression and decompression. Asymmetric applications require frequent decompression. Symmetric applications require on-line input devices such as video cameras, scanners and microphones for digitized sound. In addition to video and audio compression, this standards

activity is concerned with a number of other Issues concerned with playback of video clips and sound clips. The MPEG standard has identified a number of such issues that have been addressed by the standards activity. Let us review these Issues. Random Access The expectations generated for multimedia systems are the ability to playa sound or video clip from any frame with that clip, irrespective of on what kind-of media the information is stored VCR paradigm The VCR paradigm consists of the control functions typically found on a VCR such as play, fast forward, rewind, search forward and rewind search. Multiplexing Multiple Compressed Audio and Video Bit Streams It is a special requirement retrieved from different storage centers on a network. It may be received from different storage centers on a network. It may have to be achieved in a smooth manner to avoid the appearance of a jumpy screen.

Editability Playback Device Flexibility CCITT H.261 Video Coding Algorithms (P x 64) The linear quantizer uses a step algorithm that can be adjusted based on picture quality and coding efficiency. The H.261 is a standard that uses a hybrid of OCT and OPCM (differential pulse Code Modulation) schemes with motion estimation. It also defines the data format. Each MB contains the OCT coefficients (TCOEFF) ofa block followed by an EOB (a fixed length end-of-block marker). Each MB consists of block data and an MB header. A GOB (Group of Blocks) consists of a GOB header. The picture layer consists of a picture header. The H.261 is designed for dynamic use and provides a fully contained organization and a high level of interactive control. Moving Picture Experts Group Compression The MPEG standards consist of a number of different standards. The MPEG 2 suite of standards consist of standards for MPEG2 Video, MPEG - 2 Audio and MPEG - 2 systems. It is also defined at different levels, called profiles. The main profile is designed to cover the largest number of applications. It supports digital video compression in the range of2 to 15 M bits/sec. It also provides a generic solution for television worldwide, including cable, direct broadcast satellite, fibre optic media, and optical storage media (including digital VCRs). MPEG Coding Methodology The above said requirements can be achieved only by incremental coding of successive frames. It is known as interframe coding. If we access information randomly by frame requires coding confined to a specific frame, then it is known as intraframe coding. The MPEG standard addresses these two requirements by providing a balance between interframe coding and intraframe coding. The MPEG standard also provides for recursive and non-recursive temporal redundancy reduction.

The MPEG video compression standard provides two basic schemes: discrete-transform-based compression for the reduction of' spatial redundancy and block-based motion compensation for the reduction of temporal (motion) redundancy. During the initial stages of DCT compression, both the full motion MPEG and still image JPEG algorithms are essentially identical. First an image is converted to the YUVcolor space (a luminance/chrominance color space similar to that used for color television). The pixel data is then fed into a discrete cosine transform, which creates a scalar quantization (a two-dimensional array representing various frequency ranges represented in the image) of the pixel data. Following quantization, a number of compression algorithms are applied, including run-length and Huffman encoding. For full motion video (MPEG I and 2), several more levels of block based motion-compensated techniques are applied to reduce temporal redundancy with both causal and noncausal coding to further reduce spatial redundancy. The MPEG algorithm for spatial reduction is lossy and is defined as a hybrid which employs motion compensation, forward discrete cosine transform (DCF), a uniform quantizer, and Huffman coding. Block-based motion compensation is utilized for reducing temporal redundancy (i.e. to reduce the amount of data needed to represent each picture in a video sequence). Motion-compensated reduction is a key feature of MPEG. Moving Picture Types Moving pictures consist of sequences of video pictures or t1'ame'S that are played back a fixed number of frames per second. To achieve the requirement of random access, a set of pictures can be defined to form a group of pictures (GOP) consisting of one or more of the following three types of pictures. Intra pictures (1) Undirectionally predicted pictures (U) Bidirectiomflly predicted pictures (B) A Gap consists of consecutive pictures that begin with an intrapicture. The intrapicture is coded without any reference to any other picture in the group. PrediGted pictures are coded with a reference to a past picture, either an intrapicture or a unidirectionally predicted picture. Bidirectionally predicted picture is never used as referencesMotion Compensation for Coding MPEG

Let us review the concept of Macroblocks and understand the role they play in compression MACRO BLOCKS For the video coding algorithm recommended by CCITT, CIF and QCIF are diviqed into a hierarchical block structure consisting of pictures, groups of blocks (GOBs), Macro Blocks(MBs), and blocks. Each picture frame is divided into 16 x 16 blocks. Each Macroblock is composed of four 8 x 8 (Y) luminance blocks and two 8 x 8 (Cb and Cn) chrominance blocks. This set of six blocks, called a macroblock; is the basic hierarchical component used for achieved a high level of compression. Motion compensation Motion compensation is the basis for most compression algorithms for visual telephony and full-motion video. Motion compensation assumes that the current picture is some translation of a previous picture. This creates the opportunity for using prediction and interpolation. Prediction requires only the current frame and the reference frame. Based on motion vectors values generated, the prediction approach attempts to find the relative new position of the object and confirms it by comparing some block exhaustively. In the interpolation approach, the motion vectors are generated in relation to two reference frames, one from the past and the next predicted frame. The best-matching blocks in both reference frames are searched, and the average is taken as the position of the block in the current frame. The motion vectors for the two reference, frames are averaged. Picture Coding Method In this coding method, motion compensation is applied bidirectionally. In MPEG terminology, the motion-compensated units are called macro blocks (MBs).

MBs are 16 x 16 blocks that contain a number of 8 x 8 luminance and chrominance blocks. Each 16 x 16 macro block can be of type intrapicture, forward-predicted, backward predicted, or average. MPEG Encoder Figure below shows the architecture of an MPEG encoder. It contains DCT quantizer, Huffman coder and Motion compensation. These represent the key modules in the encoder. Architecture of MPEG Encoder:

The Sequence of events for MPEG

First an image is converted to the YUV color space. The pixel data is then fed into a DCT, which creates a scalar quantization of the pixel data. Following quantization, a number of compression algorithms are applied, including run-length and Huffman encoding. For full-motion video, several more levels of motion compensation compression and coding are applied. MPEG -2 It is defined to include current television broadcasting compression and decompression needs, and attempts to include hooks for HDTV broadcasting. The MPEG-2 Standard Supports: 1.Video Coding: * MPEG-2 profiles and levels. 2.Audio Coding:*MPEG-l audio standard fro backward compatibility.

* Layer-2 audio definitions for MPEG-2 and stereo sound. * Multichannel sound. 3. Multiplexing: MPEG-2 definitions

MPEG-2, "The Grand Alliance" It consists of following companies AT&T, MIT, Philips, Sarnoff Labs, GI Thomson, and Zenith. The MPEG-2committee and FCC formed this alliance. These companies together have defined the advanced digital television system that include the US and European HDTV systems. The outline of the advanced digital television system is as follows: 1.Format: 1080/2: 1160 or 720/1.1160 2.Video coding: MPEG-2 main profile and high level 3.Audio coding: Dolby AC3 4.Multiplexor: As defined in MPEG-2 Modulation: 8- VSB for terrestrial and 64-QAM for cable. Vector Quantization Vector quantization provides a multidimensional representation of information stored in look-up tables, vector quantization is an efficient pattern-matching algorithm in which an image is decomposed into two or more vectors, each representing particular features of the image that are matched to a code book of vectors. These are coded to indicate the best fit. In image compression, source samples such as pixels are blocked into vectors so that each vector describes a small segment or sub block of the original image. The image is then encoded by quantizing each vector separately Intel's Indeo Technology It is developed by Intel Architecture Labs Indeo Video is a software technology that reduces the size of uncompressed digital video files from five to ten times. Indeo technology uses multiple types of 'lossy' and 'lossless' compression techniques. AUDIO COMPRESSION Audio consists of analog signals of varying frequencies. The audio signals are converted to digital form and then processed, stored and transmitted. Schemes such as linear predictive coding and adaptive differential. pulse code modulation (ADPCM) are utilized for compression to achieve 40-80% compression. FRACTAL COMPRESSION A fractal is a multi-dimensional object with an irregular shape or body that has approximately the same shape or body irrespective of size. For example, if you consider 'stick' as your object, the fractal is defined, mathematically as

where L - approaches 0, N(L) ~ number of stick L, and L is the length of the stick.

4.2 DATA AND FILE FORMATS STANDARDS There are large number of formats and standards available for multimedia system. Let us discuss about the following file formats: .:. Rich-Text Format (RTF) .:. Tagged Image file Format (TIFF) .:. Resource Image File Format (RIFF) .:. Musical Instrument Digital Interface (MIDI) .:. Joint Photographic Experts Group (JPEG) .:. Audio Video Interleaved (AVI) Indeo file format .:. TWAIN. Rich Text Format This format extends the range of information from one word processor application or DTP system to another. The key format information carried across in RTF documents are given below: Character Set: It determines the characters that supports in a particular implementation. Font Table: This lists all fonts used. Then, they are mapped to the fonts available in receiving application for displaying text. Color Table: It lists the colors used in the documents. The color table then mapped for display by receiving application to the nearer set of colors available to that applications. Document Formatting: Document margins and paragraph indents are specified here. Section Formatting: Section breaks are specified to define separation of groups of paragraphs. Paragraph Formatting: It specifies style sheds. It specifies control characters for specifying paragraph justification, tab positions, left, right and first indents relative to document margins, and the spacing between paragraphs. General Formatting: It includes footnotes, annotations, bookmarks and pictures. Character Formatting: It includes bold, italic, underline (continuous, dotted or word), strike through, shadow text, outline text, and hidden text. Special Characters: It includes hyphens, spaces, backslashes, underscore and so on TIFF File Format TIFF is an industry-standard file format designed to represent raster image data generated by scanners, frame grabbers, and paint/ photo retouching applications. TIFF Version 6.0 . It offers the following formats: (i) Grayscale, palette color, RGB full-color images and black and white. (ii) Run-length encoding, uncompressed images and modified Huffman data compression schemes. The additional formats are: (i) Tiled images, compression schemes, images using CMYK, YCbCr color models.

TIFF Structure

TIFF files consists of a header. The header consists of byteordering flag, TIFF file format version number, and a pointer to a table. The pointer points image file directory. This directory contains table of entries of various tags and their information. TIFF file format Header: TIFF Tags The first two bytes of each directory entry contain a field called the Tag ID. Tag IDs arc grouped into several categories. They are Basic, Informational, Facsimile, Document storage and Retrieval. TIFF Classes: (Version 5.0)

It has five classes 1. Class B for binary images 2. Class F for Fax 3. Class G for gray-scale images 4. Class P for palette color images 5. Class R for RGB full-color images. Resource Interchange File Format (RIFF) The RIFF file formats consist' of blocks of data called chunks. They are RIFF Chunk - defines the content of the RIFF file. List Chunk - allows to embed archival location copy right information and creating date. Subchunk - allow additional information to a primary chunk The first chunk in a RIFF file must be a RIFF chunk and it may contain one or more sub chunk The first four bytes of the RIFF chunk data field are allocated for the form type field containing four characters to identify the format of the data stored in the file: AVI, WAV, RMI, PAL and so

File type Form typl File extension

Waveform Audio File WAVE .WAV Audio Video Interleaved file AVI .AVI MIDI File RMID .RMI Device Independent Bitmap file RDIB .RDI Pallette File PAL .PAL

The sub chunk contains a four-character ASCII string 10 to identify the type of data. Four bytes of size contains the count of data values, and the data. The data structure of a chunk is same as all other chunks. RIFF ChunkThe first 4 characters of the RlFF chunk are reserved for the "RIFF" ASCII string. The next four bytes define the total data size. The first four characters of the data field are reserved for form tyPe. The rest of the data field contains two subchunk: (i) fmt ~ defines the recording characteristics of the waveform. (ii) data ~ contains the data for the waveform.

LIST Chunk RlFF chunk may contains one or more list chunks. List chunks allow embedding additional file information such as archival location, copyright information, creating date, description of the content of the file. RlFF MIDI FILE FORMAT RlFF MIDI contains a RlFF chunk with the form type "RMID"and a subchunk called "data" for MIDI data. The 4 bytes are for ID of the RlFF chunk. 4 bytes are for size 4 bytes are for form type 4 bytes are for ID of the subchunk data and 4 bytes are for the size of MIDI data. RIFF DIBS (Device-Independent Bit Maps) . DIB is a Microsoft windows standard format. It defines bit maps and color attributes for bit maps independent of devices. DIEs are normally embedded in .BMP files, .WMF meta data files, and .CLP files. DIB Structure

BIT MAP INFOHEADER is the bit map information header. RGBEQUAD is the color table structure. PIXELs are the array of bytes for the pixel bit map. The following shows the DIE file format

BITMAPINFO HEADER BITMAPINFO=BITMAPINF

HEADER+RGBQUADPIXELS

A RIFF DIB file format contains a RIFF chunk with the Form Type "RDIB" and a subchunk called "data" for DIB data. 4 bytes denote ID of the RIFF chunk 4 bytes refer size ofXYZ.RDI 4 bytes define Forum Type 4 bytes describe ID of the sub chunk data 4 bytes define size of DIB data. RIFF PALETTE File format The RIFF Palette file format contains a RIFF chunk with the Form Type "RP AL" and a subchunk called "data" for palette data. The Microsoft Windows logical palette structure is enveloped in the RIFF data subchunk. The palette structure contains the palette version number, number of palette entries, the intensity of red, green and blue colours, and flags for the palette usage. The palette structure is described by the following code segment: typedef struct tagLOGP ALETTE { WORD palVersion; IIWindows version number for the structure I !Number of.palettes color entries PALETIEENTRY palpalEntry []; llarray of PALEN TRY data } LOGPALETTE; structure the form type "AVI" and two mandatory list chunks, "hdr 1" and "n10vi". The "hdr 1" defines the format of the data "Movi" contains the data for the audio-video streams. The third list chunk called "id xl", is an optional index chunk. Boundary condition Handling for AVI files Each audio and video stream is grouped together to form a ree chunk. If the size of a rec chunk is not a multiple of2048 bytes, then the rec chunk is padded to make the size of each rec chunk a multiple of 2048 bytes. To align data on a 2048 byte boundary, dummy data is added by a "JUNK" data chunk. The JUNK chunk is a standard RIFF chunk with a 4 character identifier, "JUNK," followed by the dummy data. MIDI File Format The MIDI file format follows music recording metaphor to provide the means of storing separate tracks of music for each instrument so that they can be read and syn~hronized when they are played. The MIDI file format also contains chunks (i.e., blocks) of data. There are two types of chunks: (i) header chunks (ii) track chunks. Header Chunk It is made up of 14 bytes . The first four-character string is the identifier string, "MThd" . The second four bytes contain the data size for the header chunk. It is set to a fixed value of six bytes .

The last six bytes contain data for header chunk.

Track chunk The Track chunk is organized as follows: .:. The first 4-character string is the identifier. .:. The second 4 bytes contain track length. MIDI Communication Protocol This protocol uses 2 or more bytes messages. The number of bytes depends on the types of message. There are two types of messages: (i) Channel messages and (ii) System messages.

Channel Messages A channel message can have up to three bytes in a message. The first byte is called a status byte, and other two bytes are called data bytes. The channel number, which addresses one of the 16 channels, is encoded by the lower nibble of the status byte. Each MIDI voice has a channel number; and messages are sent to the channel whose channel number matches the channel number encoded in the lower nibble of the status byte. There are two types of channel messages: voice messages and the mode messages. Voice messages Voice messages are used to control the voice of the instrument (or device); that is, switch the notes on or off and sent key pressure messages indicating that the key is depressed, and send control messages to control effects like vibrato, sustain, and tremolo. Pitch wheel messages are used to change the pitch of all notes .

Mode messages Mode messages are used for assigning voice relationships for up to 16 channels; that is, to set the device to MOWO mode or POLY mode. Omny Mode on enables the device to receive voice messages on all channels. System Messages System messages apply to the complete system rather than specific channels and do not contain any channel numbers. There are three types of system messages: common messages, real-time messages, and exclusive messages. In the following, we will see how these messages are used. Common Messages These messages are common to the complete system. These messages provide for functions such as select a song, setting the song position pointer with number of beats, and sending a tune request to an analog synthesizer. System Real Time Messages These messages are used for setting the system's real-time parameters. These parameters include the timing clock, starting and stopping the sequencer, ressuming the sequencer from a stopped position, and resetting the system. System Exclusive messages

These messages contain manufacturer-specific data such as identification, serial number, model number, and other information. Here, a standard file format is generated which can be moved across platforms and applications. JPEG Motion Image: JPEG Motion image will be embedded in A VI RIFF file format. There are two standards available: (i) MPEG ~ In this, patent and copyright issues are there. (ii) MPEG 2 ~ It provide better resolution and picture quality. TWAIN To address the problem of custom interfaces, the TWAIN working group was formed to define an open industry standard interface for input devices. They designed a standard interface called a generic TW AIN . interface. It allows applications to interface scanners, digital still cameras, video cameras. TWAIN ARCHITECHTURE:

The Twain architecture defines a set of application programming interfaces (APls) and a protocol to acquire data from input devices. It is a layered architecture. It has application layer, the protocol layer, the acquisition layer and device layer. Application Layer: This layer sets up a logical connection with a device. The application layer interfaces with protocol layer. Protocol Layer: This layer is responsible for communications between the application and acquisition layers. The main part of the protocol layer is the source Manager.

Source manager manages all sessions between an application and the sources, and monitors data acquisition transactions. The protocol layer is a complex layer.

It provides the important aspects of device and application interfacing functions. The Acquisition Layer: It contains the virtual device driver. It interacts directly with the device driver. This layer is also known as source. It performs the following functions: 1.Control of the device. 2.Acquisition of data from the device. 3.Transfer of data in agreed format. 4.Provision of user interface to control the device.

The Device Layer: The device layer receives software commands and controls the device hardware. NEW WAVE RIFF File Format: This format contains two subchunks: (i) Fmt (ii) Data.

It may contain optional subchunks: (i) Fact (ii) Cue points (iii)Play list (iv) Associated datalist.

Fact Chunk: It stores file-dependent information about the contents of the WAVE file. Cue Points Chunk: It identifies a series of positions in the waveform data stream. Playlist Chunk: It specifies a play order for series of cue points. Associated Data Chunk: It provides the ability to attach information, such as labels, to sections of the waveform data stream. Inst Chunk: The file format stores sampled sound synthesizer's samples. 4.3 MULTIMEDIA INPUT/OUTPUT TECHNOLOGIES Multimedia Input and Output Devices Wide ranges of Input and output devices are available for multimedia. Image Scanners: Image scanners are the scanners by which documents or a manufactured part are scanned. The scanner acts as the camera eye and take a photograph of the document, creating an unaltered electronic pixel representation of the original. Sound and Voice: When voice or music is captured by a microphone, it generates an electrical signal. This electrical signal has analog sinusoidal waveforms. To digitize, this signal is converted into digital voice using an analog-to-digital converter. Full-Motion Video: It is the most important and most complex component of Multimedia System. Video Cameras are the primary source of input for full-motion video.

. Pen Driver: It is a pen device driver that interacts with the digitizer to receive all digitized information about the pen location and builds pen packets for the recognition context manager. Recognition context manager: It is the main part of the pen system. It is responsible for co-ordinating windows pen applications with the pen. It works with Recognizer, dictionary, and display driver to recognize and display pen drawn objects. Recognizor: It recognizes hand written characters and converts them to ASCII. Dictionary: A dictionary is a dynamic link library (DLL); The windows form pen computing system uses this dictionary to validate the recognition results. Display Driver: It interacts with the graphics device interface' and display hardware. When a user starts writing or drawing, the display driver paints the ink trace on the screen. Video and Image Display Systems Display System Technologies There are variety of display system technologies employed for decoding compressed data for displaying. Mixing and scaling technology: For VGA screen, these technologies are used. VGA mixing: Images from multiple sources are mixed in the image acquisition memory. VGA mixing with scaling: Scalar ICs are used to sizing and positioning of images in predefined windows. Dual buffered VGA mixing/Scaling: If we provide dual buffering, the original image is prevented from loss. In this technology, a separate buffer is used to maintain the original image. Visual Display Technology Standards MDA: Monochrome Display Adapter. It was introduced by IBM . :. It displays 80 x 25 rows and columns . :. It could not display bitmap graphics . :. It was introduced in 1981.

CGA: Color Graphics Adapter . :. It was introduced in 1981. .:. It was designed to display both text and bitmap graphicsi it supported RGB color display, .:. It could display text at a resolution of 640 x 200 pixels . :. It displays both 40 x 25 and 80 x 25 row!' and columns of text characters.

MGA: Monochrome Gr.aphics Adapter . :. It was introduced in 1982 . :. It could display both text and graphics . :. It could display at a resolution 720 x 350 for text and 720 x 338 for Graphics . MDA is compatible mode for this standard. EGA: Enhanced Graphics Adapter .

:. It was introduced in 1984 . :. It emulated both MDt. and CGA standards . :. It allowed the display of both text and graphics in 16 colors at a resolution of 640 x· 350 pixels. PGA: Professional Graphics Adapter. .:. It was introduced in 1985 . :. It could display bit map graphics at 640 x 480 resolution and 256 colors . • :. Compatible mode of this standard is CGA. VGA: Video Graphics Array . :. It was introduced by IBM in 1988 . :. It offers CGA and EGA compatibility . :. It display both text and graphics . :. It generates analog RGB signals to display 256 colors . :. It remains the basic standard for most video display systems.

SVGA: Super Video Graphics Adapter. It is developed by VESA (Video Electronics Standard Association) . It's goal is to display with higher resolution than the VGA with higher refresh rates with minimize flicker. XGA: Extended Graphics Array It is developed by IBM . It offers VGA compatible mode . Resolution of 1024 x 768 pixels in 256 colors is offered by it. XGA utilizes an interlace scheme for refresh rates. Flat Panel Display system Flat panel displays use a fluorescent tube for backlighting to give the display a sufficient level of brightness. The four basic technologies used for flat panel display are: 1. Passive-matrix monochrome 2. Active-matrix monochrome 3. Passive-matrix color 4. Active-matrix color. LCD (Liquid Crystal Display) Construction: Two glass plates each containing a light polarizer at right angles to the other plate, sandwich the nematic (thread like) liquid crystal material. Liquid crystal is the compounds having a crystalline arrangement of molecules. But it flow like a liquId. Nematic liquid crystal compounds are tend to keep the long axes of rod-shaped molecules aligned. Rows of horizontal transparent conductors are built into one glass plate, and columns of vertical conductors are put into the other plate. The intersection of two conductors defines a pixel position. Passive Matrix LCD Working: Normally, the molecules are aligned in the 'ON' state. Polarized light passing through the materials is twisted so that it will pass through the opposite polarizer. The light is then reflected back to the viewer. To turn off the pixel, we have to apply a voltage to the two intersecting conductors to align molecules so that the light is not twisted.

ACTIVE Matrix LCD

In this device, a transistor is placed at each pixel position, using thin-film transisor technology. The transistors are used to control the voltage at pixel locations and to prevent charge from gradually leaking out of the liquid crystal cells. PRINT OUTPUT TECHNOLOGIES There are various printing technologies available namely Dot matrix, inkjet, laser print server and ink jet color. But, laser printing technology is the most common for multimedia systems. To explain this technology, let us take Hewlett Packard Laser jet-III laser printer as an example. The basic components of the laser printer are .:. Paper feed mechanism .:. Paper guide .:. Laser assembly .:. Fuser .:. Toner cartridge. Working: The paper feed mechanism moves the paper from a paper tray through the paper path in the printer. The paper passes over a set of corona wires that induce a change in the paper . • The charged paper passes over a drum coated with fine-grain carbon (toner), and the toner attaches itself to the paper as a thin film of carbon .The paper is then struck by a scanning laser beam that follows the pattern of the text on graphics to be printed . The carbon particles attach themselves to the pixels traced by the laser beam . The fuser assembly then binds the carbon particles to the paper. Role of Software in the printing mechanism: The software package sends information to the printer to select and control printing features . Printer drivers (files) are controlling the actual operation of the printer and allow the application software to access the features ofthe printer. IMAGE SCANNERS In a document imaging system, documents are scanned using a scanner. \The document being scanned is placed on the scanner bed or fed into the sheet feeder of the scanner .The scanner acts as the camera eye and takes a photograph of the document, creating an image of the original. The pixel representation (image) is recreated by the display software to render the image of the original document on screen or to print a copy of it. Types of Scanners A and B size Scanners, large form factor scanners, flat bed scanners, Rotory drum scanners and hand held scanners are the examples of scanners. Charge-Coupled Devices All scanners use charge-coupled devices as their photosensors. CCDs consists of cells arranged in a fixed array on a small square or rectangular solid state surface. Light source moves across a document. The intensity of the light reflected by the mirror charges those cells. The amount of charge is depending upon intensity of the reflected light, which depends on the pixel shade in the document. Image Enhancement Techniques HalfTones In a half-tone process, patterns of dots used to build .scanned or printed image create the illusion of continuous shades of gray or continuous shades of color. Hence only limited number of shades are created. This process is implemented in news paper printers. But in black and white photograph or color photograph, almost infinite levels of tones are used.

Dithering Dithering is a process in which group of pixels in different patterns are used to approximate halftone patterns by the scanners. It is used in scanning original black and white photographs. Image enhancement techniques includes controls of brightness, deskew (Automatically corrects page alignment), contrast, sharpening, emphasis and cleaning up blacknoise dots by software. Image Manipulation It includes scaling, cropping and rotation. Scaling: Scaling can be up or down, the scaling software is available to reduce or enlarge. This software uses algorithms. Cropping: To remove some parts of the image and to put the rest of the image as the subset of the old image. Rotation: Image could be rotated at any degree for displaying it in different angles. 4.4 DIGITAL VOICE AND AUDIO Digital Audio Sound is made up of continuous analog sine waves that tend to repeat depending on the music or voice. The analog waveforms are converted into digital fornlat by analog-to-digital converter (ADC) using sampling process.

Sampling process Sampling is a process where the analog signal is sampled over time at regular intervals to obtain the amplitude of the analog signal at the sampling time.

Sampling rate The regular interval at which the sampling occurs is called the sampling rate. Digital Voice Speech is analog in nature and is cOl1veli to digital form by an analog-to-digital converter (ADC). An ADC takes an input signal from a microphone and converts the amplitude of the sampled analog signal to an 8, 16 or 32 bit digital value. The four important factors governing the ADC process are sampling rate resolution linearity and conversion speed.

Sampling Rate: The rate at which the ADC takes a sample of an analog signal. Resolution: The number of bits utilized for conversion determines the resolution of ADC. Linearity: Linearity implies that the sampling is linear at all frequencies and that the amplitude tmly represents the signal. Conversion Speed: It is a speed of ADC to convert the analog signal into Digital signals. It must be fast enough. VOICE Recognition System Voice Recognition Systems can be classified into three types. 1.Isolated-word Speech Recognition. 2.Connected-word Speech Recognition. 3.Continuous Speech Recognition.

1. Isolated-word Speech Recognition.

It provides recognition of a single word at a time. The user must separate every word by a pause. The pause marks the end of one word and the beginning of the next word. Stage 1: Normalization The recognizer's first task is to carry out amplitude and noise normalization to minimize the variation in speech due to ambient noise, the speaker's voice, the speaker's distance from and position relative to the microphone, and the speaker's breath noise. Stage2: Parametric Analysis It is a preprocessing stage that extracts relevent time-varying sequences of speech parameters. This stage serves two purposes: (i) It extracts time-varying speech parameters. (ii) It reduces the amount of data of extracting the relevant speech parameters. Training mode In training mode of the recognizer, the new frames are added to the reference list. Recognizer mode If the recognizer is in Recognizer mode, then dynamic time warping is applied to the unknown patterns to average out the phoneme (smallest distinguishable sound, and

spoken words are constructed by concatenatic basic phonemes) time duration. The unknown pattern is then compared with the reference patterns. A speaker independent isolated word recognizer can be achieved by groupi.ng a large number of samples corresponding to a word into a single cluster. 2Connected-Word Speech Recognition Connected-word speech consists of spoken phrase consisting of a sequence of words. It may not contain long pauses between words.

The method using Word Spotting technique It Recognizes words in a connected-word phrase. In this technique, Recognition is carried out by compensating for rate of speech variations by the process called dynamic time warping (this process is used to expand or compress the time duration of the word), and sliding the adjusted connected-word phrase representation in time past a stored word template for a likely match. Continuous Speech Recognition This sytem can be divided into three sections: (i) A section consisting of digitization, amplitude normalization, time nonnalization and parametric representation. (ii) Second section consisting of segmentation and labeling of the speech segment into a symbolic string based on a knowledgebased or rule-based systems. (iii) The final section is to match speech segments to recognize word sequences. Voice Recognition performance It is categorized into two measures: Voice recognition performance and system performance. The following four measures are used to determine voice recognition performance.

Voice Recognition Applications Voice mail integration: The voice-mail message can be integrated with e-mail messages to create an integrated message. DataBase Input and Query Applications A number of applications are developed around the voice recognition and voice synthesis function.

The following lists a few applications which use Voice recognition. • Application such as order entry and tracking It is a server function; It is centralized; Remote users can dial into the system to enter an order or to track the order by making a Voice query. • Voice-activated rolodex or address book When a user speaks the name of the person, the rolodex application searches the name and address and voice-synthesizes the name, address, telephone numbers and fax numbers of a selected person. In medical emergency, ambulance technicians can dial in and register patients by speaking into the hospital's centralized system. Police can make a voice query through central data base to take follow-up action ifhe catch any suspect. Language-teaching systems are an obvious use for this technology. The system can ask the student to spell or speak a word. When the student speaks or spells the word, the systems performs voice recognition and measures the student's ability to spell. Based on the student's ability, the system can adjust the level of the course. This creates a self-adjustable learning system to follow the individual's pace. Foreign language learning is another good application where"' an individual student can input words and sentences in the system. The system can then correct for pronunciation or grammar.

Musical Instrument Digital Interface (MIDI) MIDI interface is developed by Daver Smith of sequential circuits, inc in 1982. It is an universal synthesizer interface MIDI Specification 1.0

MIDI is a system specification consisting of both hardware and software ~omponents which define inter-coimectivity and a communication protocol for electronic sysnthesizers, sequences, rythm machines, personal computers, and other electronic musical instruments. The inter-connectivity defines the standard cabling scheme, connector type and input/output circuitry which enable these different MIDI instruments to be interconnected. The communication protocol defines standard multibyte messages that allow controlling the instrument"s voice and messages including to send response, to send status and to send exclusive. MIDI Hardware Specification The MIDI. hardware specification require five pin panel mount requires five pin panel mount receptacle DIN connectors for MIDI IN, MIDI OUT and MIDI THRU signals. The MIDI IN connector is for input signals The MIDI OUT is for output signals MIDI THRU connector is for daisy-chaining multiple MIDI instruments. MIDI Interconnections The MIDI IN port of an instrument receives MIDI ncssages to play the instrument's internal synthesizer. The MIDI OUT port sends MIDI messages to play these messages to an external synthesizer. The MIDI THRU port outputs MIDI messages received by the MIDI IN port for daisy-chaining external synthesizers.

MIDI Input and output circuitry:

Communication Protocol The MIDI communication protocol uses multibyte messages; There are two types of messages: (i) Channel messages (ii) System messages. The channel message have three bytes. The first byte is called a status byte, and the other two bytes are called data bytes. The two types of channel messages: (i) Voice messages (ii) Mode messages. System messages: The three types of system messages. Common message: These messages are common to the complete system. These messages provide for functions. System real.time messages: These messages are used for setting the system's real-time parameters. These parameters include the timing clock, starting and stopping the sequencer, resuming the sequencer from a stopped position and restarting the system. System exclusive message: These messages contain manufacturer specific data such as identification, serial number, model number and other information. SOUND BOARD ARCHITECTURE A sound card consist of the following components: MIDI Input/Output Circuitry, MIDI Synthesizer Chip, input mixture circuitry to mix CD audio input with LINE IN input and microphone input, analog-to-digital converter with a pulse code modulation circuit to convert analog signals to digital to create WAVfiles, a decompression and compression chip to compress and decompress audio files, a speech synthesizer to synthesize speech output, a speech recognition circuitry to recognize speech input and output circuitry to output stereo audio OUT or LINEOUT. AUDIO MIXER The audio mixer c:omponent of the sound card typically has external inputs for stereo CD audio, stereo LINE IN, and stereo microphone MICIN.

These are analog inputs, and they go through analog-to-digitaf conversion in conjunction with PCM or ADPCM to generate digitized samples.

SOUND BOARD ARCHITECTURE:

Analog-to-Digital Converters: The ADC gets its input from the audio mixer and converts the amplitude of a sampled analog signal to either an 8-bit or 16-bit digital value. Digital-to-Analog Converter (DAC): A DAC converts digital input in the 'foml of W AVE files, MIDI output and CD audio to analog output signals. Sound Compression and Decompression: Most sound boards include a codec for sound compression and decompression. ADPCM for windows provides algorithms for sound compression.

CD-ROM Interface: The CD-ROM interface allows connecting u CD ROM drive.to the sound board. VIDEO IMAGES AND ANIMATION VIDEO FRAME GRABBER ARCHITECTURE A video frame grabber is used to capture, manipulate and enhance video images. A video frame grabber card consists of video channel multiplexer, Video ADC, Input look-up table with arithmetic logic unit, image frame buffer, compression-decompression circuitry, output color look-up table, video DAC and synchronizing circuitry. Video Channel Multiplexer: A video channel multiplexer has multiple inputs for different video inputs. The video channel multiplexer allows the video channel to be selected under program control and switches to the control circuitry appropriate for the selected channel in aTV with multi – system inputs. Analog to Digital Converter: The ADC takes inputs from video multiplexer and converts the amplitude of a sampled analog signal to either an 8-bit digital value for monochrome or a 24 bit digital value for colour. Input lookup table: The input lookup table along with the arithmetic logic unit (ALU) allows performing image processing functions on a pixel basis and an image frame basis. The pixel image-processing functions ate histogram stretching or histogram shrinking for image brightness and contrast, and histogram sliding to brighten or darken the image. The frame-basis image-processing functions perform logical and arithmetic operations. Image Frame Buffer Memory: The image frame buffer is organized as a l024 x 1024 x 24 storage buffer to store image for image processing and display. Video Compression-Decompression: The video compressiondecompression processor is used to compress and decompress still image data and video data.

Frame Buffer Output Lookup Table: The frame buffer data represents the pixel data and is used to index into the output look uptable. The output lookup table generates either an 8 bit pixel value for monochrome or a 24 bit pixel value for color. SVGA Interface: This is an optional interface for the frame grabber. The frame grabber can be designed to include an SVGA frame buffer with its own output lookup table and digital-to-analog converter. Analog Output Mixer: The output from the SVGA DAC and the output from image frame buffer DAC is mixed to generate overlay output signals. The primary components involved include the display image frame buffer and the display SVGA buffer. The display SVGA frame buffer is overlaid on the image frame buffer or live video, This allows SVGA to display live video. Video and Still Image Processing Video image processing is defined as the process of manipulating a bit map image so that the image can be enhanced, restored, distorted, or analyzed. Let us discuss about some of the terms using in video and still image processing.

Pixel point to point processing: In pixel point-to-point processing, operations are carried out on individual pixels one at a time. Histogram Sliding: It is used to change the overall visible effect of brightening or darkening of the image. Histogram sliding is implemented by modifying the input look-up table values and using the input lookup table in conjunction with arithmetic logic unit. Histogram Stretching and Shrinking: It is to increase or decrease the contrast. In histogram shrinking, the brighter pixels are made less bright and the darker pixels are made less dark. Pixel Threshold: Setting pixel threshold levels set a limit on the bright or dark areas of a picture. Pixel threshold setting is also achieved through the input lookup table. Inter- frame image processing Inter- frame image processing is the same as point-to-point image processing, except that the image processor operates on two images at the same time. The equation of the image operations is as follows: Pixel output (x, y) = (Image l(x, y) Operator (Image 2(x, y) Image Averaging: Image averaging minimizes or cancels the effects of random noise. Image Subtraction: Image subtraction is used to determine the change from one frame to the next .for image comparisons for key frame detection or motion detection. Logical Image Operation: Logical image processing operations are useful for comparing image frames and masking a block in an image frame. Spatial Filter Processing The rate of change of shades of gray or colors is called spatial frequency. The process of generating images with either low-spatial frequency-components or high frequency components is called spatial filter processing. Low Pass Filter: A low pass filter causes blurring of the image and appears to cause a reduction in noise. High Pass Filter: The high-pass filter causes edges to be emphasized. The high-pass filter attenuates low-spatial frequency components, thereby enhancing edges and sharpening the image. Laplacian Filter: This filter sharply attenuates low-spatial-frequency components without affecting and high-spatial frequency components, thereby enhancing edges sharply. Frame Processing Frame processing operations are most commonly for geometric operations, image transformation, and image data compression and decompression Frame processing operations are very compute intensive many multiply and add operations, similar to spatial filter convolution operations. Image scaling: Image scaling allows enlarging or shrinking the whole or part of an image. Image rotation: Image rotation allows the image to be rotated about a center point. The operation can be used to rotate the image orthogonally to reorient the image if it was scanned incorrectly. The operation can also be used for animation. The rotation formula is: pixel output-(x, y) = pixel input (x, cos Q + y sin Q, - x sin Q + Y cos Q) where, Q is the orientation angle

x, yare the spatial co-ordinates of the original pixel. Image translation: Image translation allows the image to be moved up and down or side to side. Again, this function can be used for animation. The translation formula is: Pixel output (x, y) =Pixel Input (x + Tx, y + Ty) where

Tx and Ty are the horizontal and vertical coordinates. x, yare the spatial coordinates of the original pixel. Image transformation: An image contains varying degrees of brightness or colors defined by the spatial frequency. The image can be transformed from spatial domain to the frequency domain by using frequency transform. Image Animation Techniques Animation: Animation is an illusion of movement created by sequentially playing still image frames at the rate of 15-20 frames per second. Toggling between image frames: We can create simple animation by changing images at display time. The simplest way is to toggle between two different images. This approach is good to indicate a "Yes" or "No" type situation. Rotating through several image frames: The animation contains several frames displayed in a loop. Since the animation consists of individual frames, the playback can be paused and resumed at any time. 4.5 FULL MOTION VIDEO Most modem cameras use a CCD for capturing the image. HDTV video cameras will be all-digital, and the capture method will be significantly different based on the new NTSC HDTV Standard. Full-Motion Video Controller Requirements Video Capture Board Architecture: A full-motion video capture board is a circuit card in the computer that consists of the following components: (i) Video input to accept video input signals. (ii) S- Video input to accept RS 170 input. (iii) Video compression-decompression processor to handle different video compression-decompression algorithms for video data. (iv) Audio compression-decompression processor to compress and decompress audio data. (v) Analog to digital converter. (vi) Digital to analog converter. (vii) Audio input for stereo audio LINE IN, CD IN. (viii) Microphone. A video capture board can handle a variety of different audio and video input signals and convert them from analog to digital or digital to analog. Video Channel Multiplexer: It is similar to the video grabber's video channel multiplexer. Video Compression and Decompression: A video compression and decompression processor is used to compress and decompress video data.

The video compression and decompression processor contains multiple stages for compression and decompression. The stages include forward discrete cosine transformation and inverse discrete cosine transformation, quantization and inverse quantization, ZigZag and Zero run-length encoding and decoding, and motion estimation and compensation. Audio Compression: MPEG-2 uses adaptive pulse code modulation (ADPCM) to sample the audio signal. The method takes a difference between the actual sample value and predicted sample value. The difference is then encoded by a 4-bit value or 8-bit value depending upon the sample rate Analog to Digital Converter: The ADC takes inputs from the video switch and converts the amplitude of a sampled analog signal to either an 8-bit or 16-bit digital value. 4.6 STORAGE AND RETRIVAL TECHNOLOGY Multimedia systems require storage for large capacity objects such as video, audio and images. Another requirement is delivery of audio and video objects. Storage technologies include battery powered RAM, Nonvolatile flash, rotating magnetic disk drives, and rotating optical disk drives: Let us discuss these technologies in detail. MAGNETIC MEDIA TECHNOLOGY Magnetic hard disk drive storage is a mass storage medium. It has advantages of it continual reduction in the price per mega byte of high-capacity storage. It has high capacity and available in low cost. In this section let us concentrate on magnetic disk I/O subsystems most applicable to multimedia uses. HARD DISK TECHNOLOGY Magnetic hard disk storage remains a much faster mass storage to play an important rol~ in multimedia systems. It remains a much faster mass storage medium than any other mass storage medium.

ST506 and MFM Hard drives: ST506 is an interface that defines the signals and the operation of signals between a hard disk controller and the hard disk. It is developed by seagate. It is used to control platter speed and the movement of heads for a drive. Parallel data is converted to a series of encoded pulses by using a scheme called MFM (modified frequency modulation). The MFM encoding scheme offers greater packing of bits and accuracy than the FM encoding scheme. Other encoding scheme is Run-Length-Limited. Its drive capacity varies from 20 M Bytes to 200 M Bytes. ESDI Hard Drive: ESDI (Enhanced Small Device Interface) was developed by a consortium of several manufacturers. It converts the data into serial bit streams. It uses the Run-Length-Limited Scheme for encoding. The drive has data separator circuitry Drive capacity varies from 80 M Bytes to 2 GB. ESDI interface has two ribbon cables: (i) 36 pin cable for control signals. (ii) 20 pin cable for data signals. IDE: Integrated Device Electronics (IDE) contains a,n integrated controller with drive. The interface is 16 bit parallel data interface. The IDE interface supports two IDE drives. One is master drive and other is slave drive. Here, Jumper setting is required. The transfer rate is 8 MHz

at bus speed. New Enhanced IDE Interface This new interface has a transfer rate of 9-13 M Bytes/See with maximum capacity around 8 GB. It supports upto four drives CD ROM and tape drives. SCSI (Small Computer System Interface) It is an ANSI X3T9.2 standard which supports SCSI and SCSI2 Standards. The Standard defines both software and hardware. SCSI-I:It defines an 8-bit parallel data path between host adapter and device. Here, host adapter is known as initiator and the device is known as target. There are one initiator and seven targets. Nine control signals define the activity phases of the SCSI bus during a transaction between an initiator and a target. The phases are: (i) arbitration phase (ii) selection phase (iii) command phase (iv) data phase (v) status phase (vi) message phase (vii) bus free phase. Arbitrary Phase: In this phase an initiator starts arbitration and tries to acquire the bus. Selection Phase: In this phase, an initiator has acquired the bus and selects the target to which it needs to communicate. Command Phase: The target now enters into this phase. It requests a command from the initiator. Initiator places a command on the bus. It is accepted by the target. Data Phase: The target now enters in this phase. It requests data transfer with the initiator. The data is placed on the bus by the target and is then accepted by the initiator. Status Phase: Now, the target enters in status phase. It indicates the end of data transfer to the initiator. Message Phase: This is the last phase. It is to interrupt the initiator signaling completion of the read message. The bus free phase is a phase without any activity on the bus so that the bus can settle down before the next transaction. SCSI-l transfers data in 8-bit parallel form, and the transfer rate vades rom I M Bytes/See to 5 M Bytes/Sec. SCSI-I'drive capacity varies from 20 M bytes to 2 GB. SCSI-1 has over 64 commands specified to carry out transactions. Commands include read, write, seek, enquiry, copy, verify, copy and verify, compare and so on. SCSI-2 It has the same aspects of SCSI -1, But with faster data transfer . rates, and wider data width. It includes few more new commands, and vender-unique command sets for optical drives, tape drives, scanners and so on. To make the bus wider, a system designer uses a second 68-pin connector in addition to the standard 50 pin connector. Magnetic Storage Densities and Latencies The Latency is divided into two categories: seek latency and rotational latency. Data management provides the command queuing mechanism to minimize latencies and also set-up the scatter-gather process to gather scattered data in CPU main memory. Seek Latencies: There are three seek latencies available. They are· overlapped seek latency, Mid-transfer seek and Elevator seek. Rotational Latencies: To reduce latency, we use two methods. They are:

(i) Zero latency read/write: Zero latency reads allow transferring data immediately after the head settles. It does not wait for disk revolution to sector property.

(ii) Interleaving factor: It keeps up with the data stream without skipping seccors. It determines the organization of sectors. Transfer Rate and I/O per Second: I/O transfer nite varies from 1.2 M bytes/Sec. to 40 M bytes/Sec. Transfer rate is defined as the rate at which data is transferred from the drive buffer to the host adapter memory. Data Management: It includes Command queueing and Scattergather. Command queueing allows execution of multiple sequential commands with system CPU intervention.Scatter is a process of setting the data for best fit in available block of memory or disk. Gather is a process which reassembles data into contiguous blocks on memory or disk .. Figure below shows the relationship between seek latency, Rotational latency and Data transfer It is a method of attaching multiple drives to a single host adapter. The data is written to the first drive first, then after filling it, the controller, allow the data to write in second drive, and so on. Meantime Between Failure (MTBF) = MTBF of single/drivel Total no. of dr RAID (Redundant Array of Inexpensive Disks) It is an alternative to mass storage for multimedia systems that combines throughput speed and reliability improvements. RAID is an array of multiple disks. In RAID the data is spread across the drives. It achieves fault tolerance, large storage capacity and performance improvement. If we use RAID as our hot backups, it will be economy. A number of RAID schemes havebeen developed: 1.Hot backup of disk systems 2.Large volume storage at lowercost 3.Higher performance at lower cost 4.Ease of data recovery 5.High MTBF.

There are six levels of RAID available. (i) RAID Level 0 Disk Striping It spreads data across drives. Data is striped to spread segments of data across multiple drives. Data striping provides high transfer rate. Mainly, it is used for database applications. RAID level 0 provides performance improvement. It is achieved by overlapping disk reads and writes. Overlapping here means, while segment I is being written to drive 1, segment 2 writes can be initiated for drive 2. RAID Level 1 Disk Mirroring The Disk mirroring causes two copies of every file to be written on two separate drives. (Data redundancy is achieved). These drives are connected to a single disk controller. It is useful in mainframe and networking systems. Apart from that, if one drive fails, the other drive which has its copy can be used.

Performance: Writing is slow. Reading can be speeded up by overlapping seeks. Read transfer rate and number ofI/O per second is better than a single drive.

I/O transfer rate (Bandwidth) = No. of drives x drive I/O transfer rate

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Disk controller arrangement for RAID Level1 RAID Level 2, - Bit interleaving of Data: It contains arrays of multiple drives connected-to a disk array controller. Data (written one bit at a time) is bit interleaved across multiple drives. Multiple check disks are used to detect and correct errors.

Host adapter organization of bit interleaving for RAID level2 It provides the ability to handle very large files, and a high level of integrity and reliability. It is good for multimedia system. RAID Level 2 utilizes a hamming error correcting code to correct single-bit errors and doublebit errors. Drawbacks: (i) It requires multiple drives for error correction (ii) It is an expensive approach to data redundancy. (iii) It is slow. Uses: It is used in multimedia system. Because we can store bulk of video and audio data. RAID Level-3 Parallel Disk Array: RAID 3 subsystem contains an array of multiple data drives and one parity drive, connected to a disk array controller. The difference between RAID 2 and RAID 3 is that RAID 3 employs only parity checking instead of the full hamming code error detection and correction. It has the advantages of high transfer rate, cost effective than RAID 2, and data integrity. RAID Level-4 Sector Interleaving: Sector interleaving means writing successive sectors of data on different drives.

As in RAID 3, RAID 4 employs multiple data drives and typically a single dedicated parity drive. Unlike RAID 3, where bits of data are Written to successive disk drives, an Ri\ID 4, the first sector of a block of data is written to the first drive, the second sector of data is written to the secohd drive, and so on. The data is interleaved at the data level. RAID Leve1-4 offers cost-effective improvement in performance with data. RAID Level-5 Block Interleaving: In RAID LevelS, as in all the other RAID systems, multiple drives are connected to a disk array controller. The disk array controller contains multiple SCSI channels. A RAID 5 system can be designed with a single SCSI host adapter with multiple drives connected to the single SCSI channel. Unlike RAID Level-4, where the data is sector-interleaved, in RAID Level-5 the data is block-interleaved.

Host adapter RAID LEVEL 5 DISK ARRAYS Optical Media CD ROM, WORM (Write once, Read many) and rewritable optical systems are optical drives. ·CD-ROMs have become the primary media of choice for music due to the quality of ,sound. WORMs and erasable opticel drives both use lasers to pack information densely on a removable disk. Optical Media can be classified by technology as follows: CD-ROM - Compact Disc Read Only Memory WORM - Write Once Read Many Rewritable - Erasable

Multifunction - WORM and Erasable.

CD-ROM Physical Construction of CD ROMs:

It consists of a polycarbonate disk. It has 15 mm spindle hole in the center. The polycarbonate substrate contains lands and pits. The space between two adjacent pits is called a land. Pits, represent binary zero, and the transition from land to pits and from pits to land is represented by binary one. The polycarbonate substrate is covered by reflective aluminium or aluminium alloy or gold to increase the reflectivity of the recorded surface. The reflective surface is protected by a coat oflacquer to prevent oxidation. A CD-ROM consists of a single track which starts at the center from inside and spirals outwards. The data is encoded on this track in the form of lands and pits. A single track is divided into equal length sectors and blocks. CD-ROM Physical Layers

Each sector or block consists of2352 bytes, also called a frame. For Audio CD, the data is indexed on addressed by hours, rninutes, seconds and frames. There are 75 frames in a second. Magnetic Disk Organization: Magnetic disks are organized by CYlinder, track and sector. Magnetic hard disks contain concentric circular tracks. They are divided into sector. Component of rewritable phase change cd-rom

Organization of magnetic media CD-ROM Standards : A number of recording standards have emerged for CD-ROMs.

They are: CD-DA (DD-Digital Audio) Red Book: CD-ROM is developed by philips and sony to store audio information. CD-DA is the basic medium for the music industry. The standard specifies multiple tracks, with one song per track. One track contains one frame worth of data: 2352 bytes. There are 75 frames in a second. Bandwidth = 176 KB/s. CD-ROM Mode 1 Yellow Book: The Mode 1 Yellow Book Stnadard was developed for error correction. The Yellow Book Standard dedicates 288 bytes for error detection codes (EDCs) and error correction codes (ECCs). CD-ROM Mode 2 Yellow Book The Mode 2 Yellow Book standard was developed for compressed audio and video applications where, due to lossy compression, data integrity is not quite as important. This standard maintains the frame stmcture but it does not contain the ECC/EDC bytes. Removing the ECC/EDC bytes allows a frame to contain an additional 288 bytes of data, resulting in an increase of 14% more data. The frame stmcture is shown in the Table below:

CD-ROMXA XA stands for Extended Architecture. The standard was created for extending the present CD-ROM format. CD-ROM XA contains multiple tracks. Each track's content is desclibed by mo~e. CD-ROM XA also allows interleaving audio and video objects with data for synchroni~ed playback. It does not support video compression. It supports audio compression. It uses Adaptive differential pulse Code Modulation algorithms. CD-MO Orange Book Part 1 This standard defines an optional pre-mastered area conforming to the Red, Yellow or Green book standards for read-only, and a recordable area. It utilizes a read/write head similar to that found in magnetooptical drives. We can combine the pre-master multimedia objects as the base and develop their own versions. CD-R Orange Book Part 2 This standard allows writing data once to a writeable disk. Here, the CD contains a polycarbonate substrate with pits and lands. The polycarbonate layer is covered with an organic dye recording layer. As in CD-ROM construction, the track starts from the center and spirals outwards. CD-R uses a high powered laser beam. The laser beam alters the state of the organic dye such that when the data is read, the altered state of dye disperses light instead of reflecting it. The reflected beam is measured for reading the state of each bit on the disk.

Mini-Disk Mini-Disk for Data is known as MD-Data. It was developed by Sony Corporation. It is the data version of the new rewritable storage format. It can be used in three formats to support all users. A premastered optical disk. A recordable magneto-optical disk. A hybrid of mastered and recorded.

Its size is 2.5 inch. It provides large capacity. It is low cost. It is used in multimedia applications. WORM Optical Drives It records data using a high power laser to create a permanent burnt-in record of data. The laser beam makes permanent impressions on the surface of the disk. It creates pits. Information is written once. It cannot be written over and cannot be erased. i.e., Here data cannot be edited. Recording of information: During recording, the input Signal is fed to a laser diode. The laser beam from the laser diode is modulated by the inpUt signal. It switches the laser beam on and off. if the beam is on, it strikes the three recording layers. The beam is absorbed by the bismuth-tellurium layer. Heat is generated within the layer. This heat diffuses the atoms in the three recording layers. It forms four-element alloy layer. Now, the layer becomes recorded layers. Reading Information from disk: During disk read, a weaker, laser beam is focused on to the disk. It is reflectted back. The beam splitter mirror and lens arrangement sends the reflected beam to the photo detector. The photo sensor detects the beam and converts it into an electrical signal.

WORM DRIVE Applications On-line catalogs Large-volume distribution Transaction logging Multimedia archival.

Rewritable Optical Disk Technologies This technology allows erasing old data and rewriting new data over old data. There are two types of rewritable technology: (i) Magneto-optical ii)Phase change. Magneto-Optical Technology It uses a combination of magnetic and laser technology to achieve read/write capability. The disk recording layer uses a weak magnetic field to record data under high temperature. High temperature is achieved by laser beam. When the beam is on, it heats the spot on the magneto optical disk to its curie temperature. The rise in temperature makes the spot extra sensitive to the magnetic field of bias field. Magneto-optical drives require two passes to write data; in the first pass, the magneto optical head goes through an erase cycle, and in the second pass, it writes the data. During the erase cycle, the laser beam is turned on and the bias field is modulated to change the polarity of spots to be erased. During the write cycle, the bias field is turned on and the laser beam is modulated to change the polarity of some spots to 1 according to the bit value. Phase change Rewritable optical Disk In phase change technology the recording layer changes the physical characteristics from crystalline to amorphous and back under the influence of heat from a laser beam. To read the data, a low power laser beam is transmitted to the disk. The reflected beam is different for a crystalline state than for an amorphous state. The difference in reflectivity determines the polarity of the spot. Benefits: it requires only one pass to write. Dye Polymer Rewritable Disk There is no need of magnetic technology here. This technology consists of giant molecules formed from smaller molecules of the same kind with light-sensitive dye. This technology is also used in WORM drives. HIERARCHICAL STORAGE MANAGEMENT multi-function drive is a single drive unit. It is capable of reading and writing a variety of disk media. Three types of technologies are used for multi-function drives. They are: (i) Magneto-optical disk for both rewritable and WORM capability. (ii) Magneto-optical disk for rewritable and dye polymer disk for WORM capability. (iii) Phase change technology for both rewritable and WORM capability. The storage hierarchies described in thE pyramid consist of random access memory (RAM), on-line fast magnetic hard disks, optical disks and juke boxes, diskettes, and tapes.

Permanent Vs. Transient Storage issues

The process of moving an object from one level in the storage hierarchy to another level in that hierarchy is called migration. Migration to objects to off-line media and removal of these objects from on-line media is called archiving. Migration Can be set up to be manual or automatic. Manual migration requires the user or the system administrator to move objects from one level of storage to another level. Systems with automatic migration perform this task automatically. In document-imaging systems, compressed image files are created in magnetic cache areas on fast storage devices when documents are scanned. Optical Disk Library (Juke box) An optical juke box stacks disk platters to be played. In the optical disk library, the platters are optical and contain objects such as data, audio, video, and images. An optical disk library has one or more optical drives. An optical disk library uses a very-high-speed and accurate server-controlled electromechanical robotics elevator mechanism for moving the optical platters between their slots on a disk stacks and the drives. The robotics mechanism removes disk platter from a drive and returns it to its slots on the stack after the disk has finished playing (usually when the drive is required for another disk). The robotics device operates and manages multiple drives under program control. . A juke box may contain drives of different types, including WORM, rewritable, or multifunction. Juke boxes contain one or more drives. A juke box is used for storing large volumes of multimedia information in one cost effective store. Juke box-based optical disk libraries can be networked so that multiple users can access the information. Optical disk libraries serve as near-line storage for infrequently used data. Hierarchical Storage Applications: Banks, insurance companies, hosptials, state and federal governments, manufacturing companies and a variety of other business and service organizations need to permanently store large volumes of their records, from simple documents to video information, for audit trail use. CACHE MANAGEMENT FOR STORAGE SYSTEMS Disk caches are an integral part of a hierarchical storage management architecture. Hierarchical storage consists of a number of media classes, ranging from high speed and expensive on-line fast cache storage to low-cost off-line storage. Role of on-line caches: The primary role of on-line caches as used in document-imaging systems is to provide high speed on-line storage for documents currently in use that may be accessed in the future. This role can be extended to multimedia systems. Hierarchical Organization of Caches: Caches are used at various storage levels. The following lists representative storage systems using cache storage. ~ Hardware disk caches and system memory caches for stand alone systems. ~ Disk storage caches for optical disk libraries. ~ Disk storage caches for networked systems. Low-level Disk Caching Disk Caching Controllers: Two approaches to implement disk caching controllers are: in hardware and software. A hardware caching controller is designed with its own on-board CPU and private memory

The private memory is used for storing disk data temporarily. It is known as disk cache. When an 1/0 request is received by the caching controller, the CPU on the caching controller initiates sectors of data, including sectors that contain the requested data. Disk writes managed through a disk cache can be delayed writes or write-throughs. For delayed through, data is written by the host CPU to the disk cache, and the caching controller writes the data from the disk cache to the disk when read activity is low. Cache Organization for Hierarchical Storage Systems: The hierarchical, storage management system consists of at least three or four types of storage as follows: System memory Cache On-line high speed magnetic disk storage Near-line optical disk libraries Off-line optical tape storage

Many Cache designs use a high-water mark and a low-water mark to trigger cache management operations. When the cache storage fills up to the high-water mark, the cache manager starts creating more space in cache storage. Space is created by discarding objects. The cache manager maintains a data base of objects in the cache. Cache areas containing updated objects are frequently called dirty cache. Objects in dirty cache are written back at predetermined time intervals or before discarding an object.